Ultrafast Electron Dynamics at the Water‐Modified InP(100) Surface by Jonathan Diederich, Agnieszka Paszuk, Isaac Azahel Ruiz Alvarado, Marvin Krenz, Mohammad Amin Zare Pour, Diwakar Suresh Babu, Jennifer Velazquez Rojas, Christian Höhn, Yuying Gao, Klaus Schwarzburg, David Ostheimer, Rainer Eichberger, Wolf Gero Schmidt, Thomas Hannappel, Roel van deKrol, Dennis Friedrich

“…Density‐functional theory (DFT) calculations attribute these findings to suppression of surface vibrational modes in the top P‐layer by water exposure, reducing electronic transition probabilities of near‐band‐gap surface states. …”
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A Dual-Stream Deep Learning Architecture With Adaptive Random Vector Functional Link for Multi-Center Ischemic Stroke Classification by Mahesh Anil Inamdar, Anjan Gudigar, U. Raghavendra, Massimo Salvi, Raja Rizal Azman Bin Raja Aman, Nadia Fareeda Muhammad Gowdh, Izzah Amirah Binti Mohd Ahir, Mohd Salahuddin Bin Kamaruddin, Khairul Azmi Abdul Kadir, Filippo Molinari, Ajay Hegde, Girish R. Menon, U. Rajendra Acharya

“…The integration of explainable Artificial Intelligence tools improve clinical trustworthiness by offering clear insight into the model’s decision-making process. These outcomes demonstrate the model’s potential to use in actual clinical settings for quick and accurate stroke diagnosis, along with its interpretability and computational efficiency.…”
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LINGUISTIC FEATURES OF BUSINESS ENGLISH DISCOURSE THESAURUS by Nataliia V. Zinukova

“…It is established that the success of each specific situation of intercultural business communication directly depends on the translator’s ability to correctly interpret the meaning of expression in the process of his professional activity.…”
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ADVANCED NEURAL NETWORKS AND DEEP LEARNING TECHNIQUES IN FINANCIAL MARKET PREDICTION by ENE CEZAR CATALIN

“…Deep learning, which is a specialized branch of machine learning, utilizes multiple layers of neural networks, offering enhanced capabilities to model relationships and process large datasets. …”
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MAF: An algorithm based on multi-agent characteristics for infrared and visible video fusion. by Yandong Liu, Linna Ji, Fengbao Yang, Xiaoming Guo

“…This approach establishes a multi-layered, dynamically adaptable fusion model, enabling real-time adjustments to the fusion algorithm during the infrared and visible video fusion process. …”
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Deep learning based bio-metric authentication system using a high temporal/frequency resolution transform by Sajjad Maleki Lonbar, Akram Beigi, Nasour Bagheri, Nasour Bagheri, Pedro Peris-Lopez, Carmen Camara

“…The GoogleNet architecture is selected for its effectiveness in processing complex image data, and is used for both training and testing the system.ResultsThe identity verification model achieved impressive results across two benchmark datasets. …”
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Skeletal progenitor LRP1 deficiency causes severe and persistent skeletal defects with Wnt pathway dysregulation by Mohammad Alhashmi, Abdulrahman M. E. Gremida, Santosh K. Maharana, Marco Antonaci, Amy Kerr, Shijian Fu, Sharna Lunn, David A. Turner, Noor A. Al-Maslamani, Ke Liu, Maria M. Meschis, Hazel Sutherland, Peter Wilson, Peter Clegg, Grant N. Wheeler, Robert J. van ‘t Hof, George Bou-Gharios, Kazuhiro Yamamoto

“…Finally, using Xenopus as a model system, we show the regulatory role for LRP1 in Wnt/PCP signalling. …”
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Multi-scale fusion semantic enhancement network for medical image segmentation by Zilong Zhang, Chao Xu, Zhengping Li, Yixuan Chen, Chao Nie

“…The auxiliary encoder leverages the MLCF (Multi-Layered Cross-attention Fusion) module to integrate high-level semantic data from the deep CNN with fine spatial details from the shallow layers, enhancing the precision of boundaries and positioning. …”
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Optimal sandwich panel's core design for an enhanced impact resistance by Assil Charkaoui, Noha M. Hassan, Zied Bahroun

“…Both numerical and experimental results revealed the superior energy absorption capabilities of the X-frame core shaped structure. Regression models developed shed light on the relationships between core height, volume fraction, number of layers, and core topology revealing the extent of damage. …”
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A global classification dataset of daytime and nighttime marine low-cloud mesoscale morphology based on deep-learning methods by Y. Wu, J. Liu, J. Liu, Y. Zhu, Y. Zhu, Y. Zhu, Y. Zhang, Y. Cao, Y. Cao, K.-E. Huang, B. Zheng, Y. Wang, Y. Li, Q. Wang, C. Zhou, Y. Liang, J. Sun, M. Wang, M. Wang, D. Rosenfeld, D. Rosenfeld

“…It will provide an important foundation for further research on the interactions between cloud morphology and climate processes. The final cloud classification dataset and the model development datasets are open-access and available at <span class="uri">https://doi.org/10.5281/zenodo.13801408</span> (Wu et al., 2024).…”
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A systematic benchmark of integrative strategies for microbiome-metabolome data by Loïc Mangnier, Antoine Bodein, Margaux Mariaz, Alban Mathieu, Marie-Pier Scott-Boyer, Neerja Vashist, Matthew S. Bramble, Arnaud Droit

“…Through realistic simulations, we identified the best-performing methods and validated them on real gut microbiome datasets, revealing complementary biological processes across the two omic layers. Practical guidelines are provided for specific scientific questions and data types. …”
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Optimal selection of high-production well targets for fault-controlled fractured-vuggy reservoir in Shunbei oil and gas field, Tarim Basin by Lijun GAO, Haiying LI, Wei GONG, Wei YANG, Hongyan LI

“…In response to the complex geological conditions of the overlying strata and Ordovician target layers in the Shunbei area, as well as challenges such as loss, overflow, and wellbore collapse during drilling, a key integrated geological engineering technology process focused on drilling risk prediction was established. …”
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Impact of water vapor on stratospheric temperature after the 2022 Hunga Tonga eruption: direct radiative cooling versus indirect warming by facilitating large particle formation by Xi Chen, Jun Wang, Meng Zhou, Zhendong Lu, Lyatt Jaegle, Luke D. Oman, Ghassan Taha

“…Here, we developed analytical models constrained by satellite observations to quantify these contrasting roles of WV in stratospheric temperature perturbations. …”
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Use of femtosecond laser generated reactive oxygen species to manage inflammation and enhance wound healing after ocular trauma by Jiashuai Fan, Mikhail Fomovsky, Chao Wang, Mariya Zyablitskaya, Christos Sazeides, Dusan Bogunovic, Sinisa Vukelic

“…In this study, we have utilized rabbit models to investigate whether femtosecond laser-generated reactive oxygen species (ROS) can enhance the wound healing process. …”
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In vivo redox imaging of plasma-induced skin-inflammation in mice by Yassien Badr, Abdelazim Elsayed Elhelaly, Fuminori Hyodo, Koki Ichihashi, Hiroyuki Tomita, Yoshifumi Noda, Hiroki Kato, Masayuki Matsuo

“…MRI revealed high-intensity areas in both the superficial and deep layers of the plasma-irradiated skin. The study highlights the potential importance of DNP-MRI in imaging skin-inflammation models and could improve the use of CAP in medical treatments.…”
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On the improvement of schizophrenia detection with optical coherence tomography data using deep neural networks and aggregation functions by Paweł Karczmarek, Małgorzata Plechawska-Wójcik, Adam Kiersztyn, Adam Domagała, Agnieszka Wolinska, Steven M. Silverstein, Kamil Jonak, Paweł Krukow

“…In this study Optical Coherence Tomography (OCT) data is applied to assess the different layers of the retina. OCT data were applied in the process of automatic differentiation of schizophrenic patients from healthy controls. …”
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Integrated net pay cut-off evaluation workflow for tight sandstone reservoirs: a case study of the Linxing gas field, Ordos Basin by Li Li, Li Li, Jie Yu, Jie Yu, Tao Huang, Tao Huang, Lina Tang, Lina Tang, Dan Wei, Dan Wei, Mingyu Li, Mingyu Li, Xin Nie

“…Net pay detection is a crucial stage in reservoir characterization, serving various purposes such as reserve estimation, reservoir modeling, simulation, and production planning. Net pay was quantified through the use of petrophysical cut-offs. …”
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Predicting changes of incisor and facial profile following orthodontic treatment: a machine learning approach by Jing Peng, Yan Zhang, Mengyu Zheng, Yanyan Wu, Guizhen Deng, Jun Lyu, Jianming Chen

“…With the application of interdisciplinary approach, we aim to predict the changes of incisor and profile, while identifying significant predictors. Methods A three-layer back-propagation artificial neural network model (BP-ANN) was constructed to predict incisor and profile changes of 346 patients, they were randomly divided into training, validation and testing cohort in the ratio of 7:1.5:1.5. …”
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The ZiCOS-M CO₂ sensor network: measurement performance and CO₂ variability across Zurich by S. K. Grange, S. K. Grange, S. K. Grange, P. Rubli, A. Fischer, D. Brunner, C. Hueglin, L. Emmenegger

“…Some of the highest <span class="inline-formula">CO₂</span> levels were found at two sites exposed to strong plant respiration in a very confined nocturnal boundary layer. High-<span class="inline-formula">CO₂</span> episodes were detected outside Zurich's urban area, demonstrating that processes acting on a variety of scales drove <span class="inline-formula">CO₂</span> levels. …”
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Inhibition of microRNA-139-5p Improves Fibroblasts Viability and Enhances Wound Repair in Diabetic Rats Through AP-1 (c-Fos/c-Jun) by Mo J, Zhang J, Meng X, Wang F, Tang W, Liu Y, Fu L, Liang F, Mo Z

“…MicroRNA-139-5p participates in various biological processes, including cancer and vascular endothelial injury, while its role in diabetic wound healing has not been reported.Methods: Sprague-Dawley (SD) rats were intraperitoneally injected with streptozotocin and a 1.0 cm full-layer dorsal skin wound was made to establish a diabetic wound model. …”
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