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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Deep Ultraviolet Excitation Photoluminescence Characteristics and Correlative Investigation of Al-Rich AlGaN Films on Sapphire by Zhe Chuan Feng, Ming Tian, Xiong Zhang, Manika Tun Nafisa, Yao Liu, Jeffrey Yiin, Benjamin Klein, Ian Ferguson

“…The simulation on the AlGaN longitudinal optical (LO) phonon modes determined the carrier concentrations in the AlGaN layers. The spatial correlation model (SCM) analyses on E₂(high) modes examined the AlGaN and AlN layer properties. …”
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Improving subpixel impervious surface estimation based on point of interest (POI) data by Junzhe Wang, Wang Jin, Zheng Cao, Zhiyi Pan, Guang Yang, Yaolong Zhao

“…To form an integrated sample dataset for subpixel ISA estimation, POI data were processed using kernel density analysis and transformed into continuous raster layers compatible with remote sensing imageries. …”
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Machine-learning-accelerated mechanistic exploration of interface modification in lithium metal anode by Genming Lai, Ruiqi Zhang, Chi Fang, Juntao Zhao, Taowen Chen, Yunxing Zuo, Bo Xu, Jiaxin Zheng

“…We demonstrate its effectiveness in modeling the interfaces of Li metal with both liquid and solid-state electrolytes, capturing critical processes over extended time scales. …”
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Mechanism and evaluation method of rock burst prevention in coal mines using surface hydraulic fracturing by Yuzhen MA, Yongtao GAO, Sitao ZHU, Junfeng PAN, Kaiwen XIA, Xiufeng ZHANG, Fuxing JIANG, Jinhai LIU, Bing WANG, Yang CHEN, Cai YAN

“…These values were 76.0%, 8.5%, and 47.8% lower, respectively, than those observed with non-fracturing measures; In the fracturing particle flow numerical model, the fracturing main fissure provided a path for the development of the overlying rock structure, accelerated the extension of fissure development in the vicinity of the fractured layer position, and induced fractured strata to undergo slewing or sliding movement. …”
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Analysis of the Effect of Precipitation Type on Flow Simulation in Talar and Khoramabad Watershed by Mohammad Golshan, Abdollah Pirneia, Payam Ebrahimi, Abazar Esmali Ouri

“…Using a model with integrity and high performance to simulate the hydrological process in deferent watersheds is very important. …”
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Schizo-Net: A <italic>novel</italic> Schizophrenia Diagnosis Framework Using Late Fusion Multimodal Deep Learning on Electroencephalogram-Based Brain Connectivity Indices by Nitin Grover, Aviral Chharia, Rahul Upadhyay, Luca Longo

“…The study presents <inline-formula> <tex-math notation="LaTeX">$\textit {Schizo-Net}$ </tex-math></inline-formula>, a novel, highly accurate, and reliable SCZ diagnosis model based on a late multimodal fusion of estimated brain connectivity indices from EEG activity. …”
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Pan-European forest maps produced with a combination of earth observation data and national forest inventory plotsZenodo by Jukka Miettinen, Johannes Breidenbach, Patricia Adame, Radim Adolt, Iciar Alberdi, Oleg Antropov, Ólafur Arnarsson, Rasmus Astrup, Ambros Berger, Jón Bogason, Gherardo Chirici, Piermaria Corona, Giovanni D'Amico, Jiří Fejfar, Christoph Fischer, Florence Gohon, Thomas Gschwantner, Johannes Hertzler, Zsofia Koma, Kari T. Korhonen, Luka Krajnc, Nicolas Latte, Philippe Lejeune, Andrew McCullagh, Marcin Mionskowski, Daniel Moreno-Fernández, Mari Myllymäki, Mats Nilsson, Jérôme Perin, Juho Pitkänen, John Redmond, Thomas Riedel, Johannes Schumacher, Lauri Seitsonen, Laura Sirro, Mitja Skudnik, Arnór Snorrason, Radosław Sroga, Berthold Traub, Björn Traustason, Bertil Westerlund, Stephanie Wurpillot

“…While the published maps can be useful for visualization and other purposes, they are primarily meant as auxiliary information in model-assisted estimation where model-related biases can be mitigated, and field-based estimates improved. …”
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Assessment of Aerodynamic Properties of the Ventilated Cavity in Curtain Wall Systems Under Varying Climatic and Design Conditions by Nurlan Zhangabay, Aizhan Zhangabay, Kenzhebek Akmalaiuly, Akmaral Utelbayeva, Bolat Duissenbekov

“…In this connection, this study presents a parametric assessment of the influence of climatic and geometric factors on the aerodynamic characteristics of the air cavity, which affect the heat exchange process in the ventilated layer of curtain wall systems. …”
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Low-Cost Optical Filters Based on SiO_xC_y:H and Ag Thin Films Fabricated by Plasma Enhanced Chemical Vapor Deposition and Sputtering by Ahmed Kotbi, Michael Lejeune, Pierre Barroy, Ilham Hamdi Alaoui, Wiaam El Hakim, Frederic Lamarque, Andreas Zeinert

“…HMDSO and Silver are used in this study for the fabrication of optical filters using two types of structures, a multiple cavity metal–dielectric (MCMD) and the Fabry–Perot structure. The silver layers are deposited by a sputtering process. The MCMD optical filter shows a higher transmittance of about 30%, but a wide range of wavelengths is transmitted. …”
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A framework for assessing grey multitasking effectiveness of satellite communication constellation by Ruirui Shao, Ximing Wang, Su Gao, Yuhong Li, Weiqing You, Qian Zhang

“…However, current research on multi-layer constellation networks has its shortcomings. …”
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Security analysis of the RSSP-II protocol and a novel security enhancement approach by FENG Tao, TIE Xiaoping, WU Yi, SHI Jianming

“…To address these security issues, the formal modeling method of colored Petri nets (CPN) was employed to analyze RSSP-Ⅱ, and the existence of security vulnerabilities in it was verified. …”
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Strain promoted azide alkyne cycloaddition, an efficient surface functionalization strategy for microRNA magnetic separation by Djamila Kechkeche, Sirine El Mousli, Claire Poujouly, Emilie Secret, Vincent Dupuis, Isabelle Le Potier, Marie-Emmanuelle Goriot, Julien Siracusa, Sébastien Banzet, Jean Gamby, Jean-Michel Siaugue

“…Capture of the targeted miRNA by magnetic separation was then studied in buffered model media and in complex biological media. This study showed that MNP allowed magnetically-assisted extraction of target miRNA with good hybridization yields, even in biological media for which the capture capacity was preserved at around 75 %, with rapid kinetics and satisfactory selectivity.…”
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The Impact of Farmland Transfer on Urban–Rural Integration: Causal Inference Based on Double Machine Learning by Yuchen Lu, Jiakun Zhuang, Jun Chen, Chenlu Yang, Mei Kong

“…The analysis of the impact of the 2010 liberalisation of the land transfer policy employs a dual machine learning model, utilising provincial-level data from China spanning 2005 to 2022, to address the limitations of traditional causal inference models while ensuring estimation accuracy. …”
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Multimodal data deep learning method for predicting symptomatic pneumonitis caused by lung cancer radiotherapy combined with immunotherapy by Mingyu Yang, Jianli Ma, Chengcheng Zhang, Liming Zhang, Jianyu Xu, Shilong Liu, Jian Li, Jiabin Han, Songliu Hu

“…This process was repeated five times, and the results from these iterations were aggregated to compute the average values of performance metrics, thereby assessing the overall performance and stability of the model.ResultsThe multimodal fusion model developed in this research, which incorporated depth image characteristics, radiomics properties, and clinical data, demonstrated an AUC of 0.922 (95% CI: 0.902-0.945, P value &lt; 0.001). …”
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Multi-Variable Transformer-Based Meta-Learning for Few-Shot Fault Diagnosis of Large-Scale Systems by Weiyang Li, Yixin Nie, Fan Yang

“…To enable the Transformer model to simultaneously receive continuous and state inputs, we introduced feature layers before the encoder to better integrate the characteristics of both continuous and state variables. …”
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Methodology for assessing the stability and evaporation of volatile substances from the soil by Kochetova Zh. Yu., Shishkin A. V., Velikanov A. V.

“…The permissible concentration of volatile matter is experimentally established, at which its entry into the air does not exceed the permissible standards for atmospheric air. This process is associated with certain difficulties caused, first of all, by the complexity of modeling the emission of toxicants from soils in laboratory conditions, and the duration of the process. …”
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Structural Build-Up of Cement Pastes: A Comprehensive Overview and Key Research Directions by Mahmoud Hayek, Youssef El Bitouri, Kamal Bouarab, Ammar Yahia

“…The advancement of modern concretes, such as printable concrete, fluid concrete with adapted rheology, and ultra-high-performance concrete, has increased the importance of understanding structural build-up in cement-based materials. This process, which describes the time-dependent evolution of rheological properties, is a key factor to ensure the stability of concrete by influencing segregation, bleeding, formwork pressure, numerical modeling, and multi-layer casting. …”
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Research on Diffusion Patterns of Gas Produced by Energy Storage Lithium Batteries due to Thermal Runaway by LIU Li, SHI Mengzhao, XU Dongyang, TANG Wenbing, HU Yue, JIANG Fengbing

“…In addition, the smoke layer spreads from the battery compartment to the ground within only 50 seconds.…”
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AI-Based Prediction of Warpage in Organic Substrates by Jingyi Zhao, Meiying Su, Rui Ma

“…However, traditional experimental approaches incur high costs, while case-by-case finite element method (FEM) modeling presents computational bottlenecks. This study proposes an artificial intelligence (AI)-based method to predict the warpage behavior of organic substrates with diverse material and structural configurations. …”
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