Semi-auxetic piezoresistive textronic by Milad Razbin, Sharhbanou Ehsanpour, Ali Akbar Gharehaghaji, Roohollah Bagherzadeh

“…Abstract Auxetic textile sensors represent a new generation of wearable sensors, offering advantages such as high sensitivity, enhanced mechanical properties, and greater comfort due to their suitable physical features. Research in this field remains limited and is still in its nascent stages. …”
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Dual Probe with Fluorescent and Magnetic Properties for Imaging Solid Tumor Xenografts by Liang Shan, Songping Wang, Rajagopalan Sridhar, Zaver M. Bhujwalla, Paul C. Wang

“…These results indicate that the newly developed dual probe enhances the tumor image contrast and is superior to contrast agent alone for identifying the tumor pathologic features on the basis of MRI but also is suitable for NIR-based optical imaging.…”
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Vehicle recognition in acoustic sensor networks using multiple kernel sparse representation over learned dictionaries by Rui Wang, Wenming Cao, Zhihai He

“…In the proposed multiple kernel sparse representation–based classification method, acoustic features of vehicles are extracted and mapped into a high-dimensional feature space using a kernel function, which combines multiple kernels to obtain linearly separable samples. …”
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A Novel Framework for Whole-Slide Pathological Image Classification Based on the Cascaded Attention Mechanism by Dehua Liu, Bin Hu

“…However, existing methods often rely on single attention mechanisms, failing to fully exploit the complexity of pathological images, especially in extracting critical features from whole-slide images. We developed a framework incorporating a cascaded attention mechanism, enhancing meaningful pattern recognition while suppressing irrelevant background information. …”
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Anomaly Detection and Business Process Orchestration for Low-Code Platform in Power System Based on Deep-Cross Model With Data Balancing by Jin Huang, Ming Sheng Xu, Chang Ming Zhu, Guo An Wang

“…Third, we implement a hierarchical feature interaction mechanism that enables both explicit and implicit learning of high-order patterns, resulting in a 35% improvement in anomaly pattern recognition over traditional deep learning approaches. …”
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Versatility Evaluation of Landslide Risk with Window Sizes and Sampling Techniques Based on Deep Learning by Fudong Ren, Koichi Isobe

“…Unlike conventional methods that often require manual feature selection and engineering, CNNs automate feature extraction, enabling a more nuanced understanding of complex patterns. …”
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Video-Assisted Thoracoscopic Lung Biopsy as a Possible Cause of Acute Interstitial Pneumonia in a Patient with Nonspecific Interstitial Pneumonia by D Jeffrey Moore, Colm P McParland, Martin J Bullock, Yannick Cartier, Paul Hernandez

“…High-resolution computed tomography showed features of usual interstitial pneumonia, but the lung biopsy obtained by video-assisted thoracoscopy was consistent with a histological pattern of nonspecific interstitial pneumonia. …”
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Regulatory signatures involved in the cell cycle pathway contribute to egg production heterosis in chicken by Jingwei Yuan, Yuanmei Wang, Yanyan Sun, Yunlei Li, Aixin Ni, Qin Li, Hanhan Yang, Xinying Xu, Yunhe Zong, Hui Ma, Jilan Chen

“…Then, we identified consensus co-expression modules (CMs) that showed divergent expression pattern among crossbred (WY or YW) and purebreds (WW and YY). …”
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Exploring voluntary sector specialist services for victim-survivors of sexual violence in England: the PROSPER co-production study by Caroline Bradbury-Jones, Sarah Damery, Kirsten Fruin, Clare Gunby, Jenny Harlock, Lucy Hebberts, Louise Isham, Anne-Marie Jones, Fay Maxted, Amelia Mighty, Priti Parmar, Laura Patterson, Jason Schaub, Fee Scott, Harriet Smailes, Debs Smith, Julie Taylor

“…Core implications for research The model that we have developed from the PROSPER findings will require development and testing to assess its usefulness as a resource for training and education in the VSS sector. …”
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Optical properties, inclusions, and chemical composition of blue corundum from the Stazh-2 deposit, South-Western Pamir by A. K. Litvinenko, D. B. Vandanova, O. A. Shilova, S. B. Pakhomova

“…Areas with chromium exhibit sharp rectilinear boundaries. (3) Zircon, diaspore, boehmite, muscovite, calcite, as well as gas-liquid inclusions with CO2, were determined in the composition of blue corundum. (4) Two color generations due to newly formed fractures and minerals were identified. (5) The inclusions of diaspore, boehmite, muscovite, and calcite are the result of the hydration and carbonation reactions that occurred between corundum and anorthite at later development stages. (6) The blue corundum samples contained Ti and Fe with a predominance of Ti over Fe, which is a distinctive feature of the Stazh-2 deposit from other deposits of blue corundum and sapphires.Conclusion. …”
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AlKhalil Morpho Sys 2: A robust Arabic morpho-syntactic analyzer by Mohamed Boudchiche, Azzeddine Mazroui, Mohamed Ould Abdallahi Ould Bebah, Abdelhak Lakhouaja, Abderrahim Boudlal

“…In addition, we have enriched the morphological features provided by this new version with the lemma tag of the word and its pattern, which are very useful in many applications of Arabic language processing. …”
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Delayed neutron yield measurement on thermal neutron induced fission of 237Np using cross-correlation technique by Sh. S. Zeynalov, O. V. Zeynalova, V. I. Smirnov

“…The data is modulated with predefined pattern before transmission to the public network and only recipient that has the modulation pattern is able to demodulate it upon reception. …”
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Eyes in cheese: reasons for formation and methods of assessment by O. V. Lepilkina, O. N. Lepilkina, I. V. Loginova

“…Based on the assumption that cheeses with a frequent pattern of angular, irregular shape can be considered as porous bodies, an assumption was made about the advisability of developing a method for measuring the porosity coefficient, which could supplement the organoleptic assessment of the pattern with an objective indicator that would allow the rejection of cheeses on this basis.…”
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Effects of weed interference, sowing date and method on growth, yield and yield components of Red Bean (Phaseolus vulgaris L.) by mohsen edalat, Maryam Kamali, Seyed Abdolreza Kazemeini, Bahram Heidari

“…Introduction Red beans (Phaseolus vulgaris L.) with 22-25 % protein and 50-60 % carbohydrates are one of the most important legumes in the world, particularly in some developing countries. It is one of the major sources of vegetable protein. …”
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Endoscopic Observation of the Growth Process of a Right-Side Sessile Serrated Adenoma/Polyp with Cytological Dysplasia to an Invasive Submucosal Adenocarcinoma by Kaoru Omori, Kanako Yoshida, Sadafumi Tamiya, Tsutomu Daa, Masahiro Kan

“…Biopsy samples were obtained from the small nodule, and the lesion was eventually diagnosed as an SSA/P with cytological dysplasia, considering endoscopic observations, among which the narrow-band imaging features suggested that the lesion was adenomatous, that is, a round-oval pattern, and hyperplastic, that is, comprising a circular pattern with dots and an invisible capillary vessel. …”
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An exploration of the research framework for the coupling of farmland and rural residential land use transition under the perspective of spatial production by LI Jingjing, FENG Yingbin, GU Lei, LI Yue

“…Overall, the research framework of “feature identification - pattern judgment - mechanism response” for the coupling of farmland and rural residential land use transition from the perspective of spatial production was formed. …”
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Enhancing prediction of crop yield and soil health assessment for sustainable agriculture using machine learning approach by Kapil Netaji Vhatkar, Shweta Ashish Koparde, Sonali Kothari, Jayesh Sarwade, Kishor Sakur

“…Improving soil health evaluation and crop output forecasting are essential for developing sustainable agricultural methods. By applying data-driven insights, farmers may optimize resources, increase productivity, and promote environmental sustainability. …”
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Forecasting Temperature Time Series Data Using Combined Statistical and Deep Learning Methods: A Case Study of Nairobi County Daily Temperature by John Kamwele Mutinda, Amos Kipkorir Langat, Samuel Musili Mwalili

“…In addition, the high R-squared value of 0.779234 indicates that approximately 77.92% of the variance in the observed data is explained by the model, showcasing its robustness and effectiveness in capturing the underlying patterns in temperature time series data. Overall, this study underscores the importance of VMD in preprocessing data to enhance feature representation and forecasting accuracy. …”
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Handling Sensor Faults in Hydroponics: A Deep Learning Imputation Technique for Accurate Tomato Yield Prediction by Viji Venugopal, Paresh Tanna, Ramesh Karnati

“…DLPIM introduces a feature encoder-based generator with a 4-headed self-attention mechanism and a Crop Growth Rate (CGR) guided temporal processor to capture complex time-series patterns while maintaining physiological consistency. …”
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Surface Damage Detection in Hydraulic Structures from UAV Images Using Lightweight Neural Networks by Feng Han, Chongshi Gu

“…The developed DL-based model integrates an enhanced Fast-SCNN backbone for efficient feature extraction, a Lightweight Feature Pyramid Attention (LFPA) module for multi-scale context enhancement, and an Edge Attention Module (EAM) for refined boundary localization. …”
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