Improving ocean reanalyses of observationally sparse regions with transfer learning by Simon Lentz, Sebastian Brune, Christopher Kadow, Johanna Baehr

“…Our network is trained on a time period with abundant observations to learn realistic physical behavior. Evaluating it within a consistent data assimilation framework, this network learns and reproduces its training data’s physical patterns. …”
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Comparative analysis of 18 chloroplast genomes reveals genomic diversity and evolutionary dynamics in subtribe Malaxidinae (Orchidaceae) by Lin Li, Wenting Yang, Qiang Liu, Xingyou Jiang, Kunlin Wu, Lin Fang, Mingzhi Li, Songjun Zeng, Shijin Li

“…The detection of abundant long dispersed repeats and SSRs provides valuable molecular markers for evaluating both intrageneric and interspecific polymorphism as well as genetic diversity patterns. …”
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Enhanced impact resistance of novel sustainable preplaced aggregate geopolymer concrete reinforced with steel mesh and 5D fibers by Mostafa Samadi, G. Murali, Leong Sing Wong, Marzena Kurpińska, Hakim S. Abdelgader, Isyaka Abdulkadir, Nor Hasanah Abdul Shukor Lim, Siva Avudaiappan, Mohamed Abdellatief

“…All specimens underwent evaluation using the drop-weight impact test in conformity with ACI Committee guidelines. …”
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A new method for determining factors Influencing productivity of deep coalbed methane vertical cluster wells by HUANG Li, XIONG Xianyue, WANG Feng, SUN Xiongwei, ZHANG Yixin, ZHAO Longmei, SHI Shi, ZHANG Wen, ZHAO Haoyang, JI Liang, DENG Lin

“…The desorption production patterns of deep coalbed methane（CBM） vertical cluster wells, as well as the transition timing between free gas and desorbed gas, remain unclear. …”
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Analysis of optimizing Bicon short implant placement in posterior mandible with type II bone by Mingyi Ji, Xinyi Ji, Junfeng Xu

“…Therefore, the design and clinical evaluation of implant-restoration systems should focus on these high-risk regions. …”
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Specific Premature Ventricular Complex Characteristics in Women: Insights from a Patient Cohort by Ștefan Ailoaei, Laurențiu Șorodoc, Carina Ureche, Nicolae Sîtari, Alexandr Ceasovschih, Mihaela Grecu, Radu Andy Sascău, Cristian Stătescu

“…The study also evaluated the association between PVC burden and underlying cardiac conditions. …”
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3-Dimensional Spatial Analysis of Parking Lot Wall Scratch Using Mobile Point Cloud Data by Y. Li, C. Ye, Y. Zhang, Z. Kang

“…The analysis of these datasets, which captured 327 wall scratches, reveals that structural layout and lighting conditions significantly influence scratch occurrence patterns, highlighting the potential of point cloud data in improving safety-oriented parking facility design.…”
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Generative Jazz Chord Progressions: A Statistical Approach to Harmonic Creativity by Adriano N. Raposo, Vasco N. G. J. Soares

“…It proposes an unconventional statistical approach, leveraging a corpus of 1382 jazz standards, which includes key information, song structure, and chord sequences by section. The proposed method generates chord sequences based on statistical patterns extracted from the corpus, considering a tonal context while introducing a degree of unpredictability that enhances the results with elements of surprise and interest. …”
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Spatiotemporal analysis of land use and land cover changes, LST and NDVI in Thatta district, Sindh, Pakistan

“…The study revealed the area under built-up structures has increased from 1991 to 2021. Although the vegetation cover showed an increase, the bare soil showed a decreasing pattern, indicating a constant change in the LULC patterns in the region. …”
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Research on the Influence of SST in Different Regions on the Interannual Variability of Winter Fog Days over Eastern China by Qisheng CEN, Peng LIU

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Population-based spectral characteristics of normal interictal scalp EEG inform diagnosis and treatment planning in focal epilepsy by Neeraj Wagh, Andrea Duque-Lopez, Boney Joseph, Brent Berry, Lara Jehi, Daniel Crepeau, Leland Barnard, Venkatsampath Gogineni, Benjamin H. Brinkmann, David T. Jones, Gregory Worrell, Yogatheesan Varatharajah

“…We decomposed expertly graded normal EEGs (N = 6,242) using unsupervised tensor decomposition to extract the dominant spatio-spectral patterns present in a clinical population. We then, using the independent cohort of patients with focal epilepsy, evaluated whether pattern loadings of normal interictal EEG segments could classify focal epilepsy, the epileptogenic lobe, presence of lesions, and drug response. …”
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DEVELOPMENT OF A QUALIFICATION PROCEDURE FOR METHIONINE FORM OF INTERFERON ALFA-2b STANDARD TO CONFIRM ITS AUTHENTICITY BY MEANS OF A PEPTIDE MAPPING METHOD by O. B. Ustinnikova, E. O. Goloshchapova, O. B. Runova, M. G. Korotkov, R. A. Volkova

“…Authenticity evaluation of proteins obtained with recombinant DNA technology is an important step in confirming efficacy and safety of the drugs based on them. …”
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A Highly Robust Encoder–Decoder Network with Multi-Scale Feature Enhancement and Attention Gate for the Reduction of Mixed Gaussian and Salt-and-Pepper Noise in Digital Images by Milan Tripathi, Waree Kongprawechnon, Toshiaki Kondo

“…HREDN integrates a multi-scale feature enhancement block in the encoder, allowing the network to capture features at various scales and handle complex noise patterns more effectively. To mitigate information loss during encoding, skip connections transfer essential feature maps from the encoder to the decoder, preserving structural details. …”
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Application of a KAN-LSTM Fusion Model for Stress Prediction in Large-Diameter Pipelines by Zechao Li, Shiwei Qin

“…The model is trained and validated using actual pipeline monitoring data, ensuring that it accurately captures both the temporal dependencies and nonlinear stress patterns inherent in such systems. By modifying the fully connected layer of the original LSTM model, we develop a novel LSTM-KAN model and evaluate its performance through comprehensive predictive analysis. …”
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Combining Generative Adversarial Networks (GANs) With Gaussian Noise for Anomaly Detection in Internet of Things (IoT) Traffic by Roya Morshedi, S. Mojtaba Matinkhah

“…The proposed model consists of a generator that produces pseudo‐real data and a discriminator capable of distinguishing between real and fake data. This structure enables the identification of anomaly patterns in IoT traffic data. …”
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Supplementing the Build Activity in Design Science Research with Soft Systems Methodology: A Technique of Creating Frameworks for Guiding Interventions Against Unstructured Problem... by Agnes Nakakawa, Fiona P. M. Tulinayo, Geoffrey O. Tabo, Patrick van Bommel, Hans B. F. Mulder, Henderik A. Proper

“…From 2011 to 2023, TBUFI has undergone 11 evaluation iterations, which involved: (a) using it to support the building of frameworks for guiding digital interventions in ten research studies; and (b) engaging information systems specialists in a group walkthrough meeting to deliberate its structural composition. …”
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Clinical usefulness of image‐enhanced endoscopy for the diagnosis of ulcerative colitis‐associated neoplasia by Kaoru Takabayashi, Motohiko Kato, Takanori Kanai

“…The use of high‐definition chromoendoscopy enables the evaluation of subtle mucosal patterns in the colon. …”
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Molecular Cardiac Changes in Feline Hyperthyroidism and Hypertrophic Cardiomyopathy: Focus on Desmin, Calreticulin, and Interleukin-10 Expression by Izabela Janus-Ziółkowska, Joanna Bubak, Massimiliano Tursi, Cristina Vercelli, Rafał Ciaputa, Małgorzata Kandefer-Gola, Agnieszka Noszczyk-Nowak

“…Despite this clinical overlap, protein expression patterns in the hearts of hyperthyroid cats remain poorly understood. …”
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EMM Project—LD GRIDS: Design of a Charged Dust Analyser for Moon Exploration by Diego Scaccabarozzi, Abdelrahman Mohamed Ragab M. Ahmed, Andrea Appiani, Bortolino Saggin, Carmen Porto, Francesca Esposito

“…The investigation focuses on evaluating the influence of various grid geometrical parameters (size, thickness, and patterns) on the sensor’s performance, either from an electrical or a mechanical perspective. …”
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Windows Malware Detection via Enhanced Graph Representations with Node2Vec and Graph Attention Network by Nisa Vuran Sarı, Mehmet Acı, Çiğdem İnan Acı

“…Finally, the enhanced embeddings are classified using Convolutional Neural Network (CNN) and Gated Recurrent Units (GRU)s, a custom hybrid CNN-GRU-3 deep learning-based model capable of effectively modeling sequential patterns. The dual role of GAT as a classifier and feature extractor is also analyzed to evaluate its impact on embedding quality and classification accuracy. …”
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