Partial Discharge (PD) Signal Recognition in Fiber-Optic Acoustic Emission Using a Lightweight Attention Mechanism (ECA) by Yang Feng, Dong Yuhan, Jiang Peng, Liu Guolen

“…Based on the ResNet model, we incorporate an ELU activation function to enhance the model and introduce both CA and ECA attention mechanisms. …”
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DRomics, a workflow to exploit dose-response omics data in ecotoxicology by Delignette-Muller, Marie Laure, Siberchicot, Aurélie, Larras, Floriane, Billoir, Elise

“…Next, we present the new functionalities recently implemented. DRomics has been augmented especially to be able to handle varied omics data considering the nature of the measured signal (e.g. counts of reads in RNAseq) and the way data were collected (e.g. batch effect, situation with no experimental replicates). …”
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Hybrid Lattice Boltzmann Scheme for Conductive-convective-radiative Heat Transfer by Alexander Nee

“…However, the hybrid lattice Boltzmann model is faster than the vorticity-stream function formulation when using the mesh points more than 3612. …”
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Evidence of Subsurface Control on the Coevolution of Hillslope Morphology and Runoff Generation by David G. Litwin, Ciaran J. Harman

“…We compared emergent hydrological function and topography in two watersheds with very similar climatic and tectonic history, but very different subsurface properties due to contrasting bedrock lithology. …”
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Pathogenetic role of the autonomic nervous system in arterial hypotension cardiac remodeling in young women by V. M. Baev, Т. Yu. Agafonova

“…Cardiac hypotrophy, decrease of contractile function and impaired LV relaxation during hypotension are associated with low sympathetic activity against the background of parasympathicotonia. …”
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Altitudinal variation of soil extracellular enzyme activity in a subtropical evergreen broad-leaved forest by Dehuang Zhu, Yan Zhou, Dafeng Hui

“…Abstract Background Soil extracellular enzymes play pivotal roles in driving biogeochemical cycling within forest ecosystems, with altitude being a significant predictor for the response of ecosystem function to climate change. However, soil extracellular enzyme stoichiometry and its variations along altitudinal gradients in mountains are still not well-investigated. …”
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Medical embryology and regenerative medicine: research and applications in clinical practice by Julia Soczyńska, Julia Soczyńska, Wiktor Gawełczyk, Wiktor Gawełczyk, Patrycja Obrycka, Patrycja Obrycka, Mateusz Żołyniak, Mateusz Żołyniak, Adrian Muzyka, Adrian Muzyka, Krzysztof Majcherczyk, Krzysztof Majcherczyk, Julia Papierkowska, Julia Papierkowska, Sławomir Woźniak

“…Detailed research on the influence of microenvironmental factors on the future function of stem cells, including artificial modulation of external signals that mimic in vivo conditions -such as chemical gradients or specific pathways like Notch and Hedgehog -has enabled effective regulation of cellular behavior. …”
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CD56 and Tim-3 molecule expression in different monocyte subsets in physiological pregnancy by E. G. Orlova, O. A. Loginova

“…The population of peripheral blood monocytes is phenotypically and functionally heterogeneous. In humans, there are different monocyte subsets depending on the expression of CD14 and CD16. …”
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Spatial pattern of Trees in the Riparian Forests (Case Study: Wildlife Refuge of Karkhe) by Shaieste Gholami

“…Accordingly, sustainability and maintenance of riparian vegetation or restoring of degraded sites is critical to sustain inherent ecosystem function and values. Many scientists believe promoting sustainability is the overarching goal of landscape (and regional) planning. …”
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Metagenomics-assembled genomes reveal microbial metabolic adaptation to athalassohaline environment, the case Lake Barkol, China by Maripat Xamxidin, Xuanqi Zhang, Gang Zheng, Can Chen, Min Wu

“…In this study, we employed high-throughput metagenomic sequencing to characterize the taxonomic composition, metabolic potential, and ecological functions of microbial communities in both water and sediment samples from Lake Barkol. …”
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Hematopoietic sphingosine 1-phosphate lyase deficiency decreases atherosclerotic lesion development in LDL-receptor deficient mice. by Martine Bot, Paul P Van Veldhoven, Saskia C A de Jager, Jason Johnson, Niels Nijstad, Peter J Van Santbrink, Marijke M Westra, Gerd Van Der Hoeven, Marion J Gijbels, Carsten Müller-Tidow, Georg Varga, Uwe J F Tietge, Johan Kuiper, Theo J C Van Berkel, Jerzy-Roch Nofer, Ilze Bot, Erik A L Biessen

“…<h4>Conclusions</h4>Here we not only firmly establish the critical role of hematopoietic S1P lyase in controlling S1P levels and T cell trafficking in blood and lymphoid tissue, but also identify leukocyte Sgpl1 as critical factor in monocyte macrophage differentiation and function. Its, partly counterbalancing, pro- and anti-inflammatory activity spectrum imply that intervention in S1P lyase function in inflammatory disorders such as atherosclerosis should be considered with caution.…”
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Effects of Alcohol Septal Ablation on Exercise Hemodynamics, Symptoms, and Quality of Life in Obstructive Hypertrophic Cardiomyopathy by Anne M. Dybro, Torsten B. Rasmussen, Roni R. Nielsen, Bertil T. Ladefoged, Anders L. D. Pedersen, Christian J. Terkelsen, Mads J. Andersen, Morten K. Jensen, Steen H. Poulsen

“…Secondary outcomes assessed left ventricular outflow tract gradients, New York Heart Association functional class, and the Kansas City Cardiomyopathy Questionnaire Clinical Summary Score. …”
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Electrodiffusion dynamics in the cardiomyocyte dyad at nano-scale resolution using the Poisson-Nernst-Planck (PNP) equations. by Karoline Horgmo Jæ Ger, Aslak Tveito

“…This process is fundamental to cardiac function because calcium subsequently binds to troponin, initiating the conformational changes necessary for myofilament contraction. …”
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AdaSpline-Net for Improved Short-Term Solar Irradiance Forecasting by Ngiap Tiam Koh, Anurag Sharma, Jianfang Xiao, Cheng Siong Chin, Chin Jun Xing, Wai Lok Woo

“…Unlike traditional activation functions, which suffer from issues like the &#x201C;dying ReLU&#x201D; problem, the adaptive B-spline function provides smooth, flexible mappings with continuous gradients, allowing it to capture intricate data patterns effectively. …”
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Hypersalinity Drives Dramatic Shifts in the Invertebrate Fauna of Estuaries by Ben J. Roots, Ruth Lim, Stephanie A. Fourie, Essie M. Rodgers, Emily J. Stout, Sorcha Cronin-O’Reilly, James R. Tweedley

“…This loss of invertebrates can substantially impact ecosystem functioning and trophic pathways, and the findings of this study provide a basis for predicting how these communities will respond to increasing hypersalinity driven by climate change.…”
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Genomic insights into monensin resistance development in Eimeria tenella by Xiaolong Gu, Xiaolong Gu, Sufang Fang, Hongbin Liu, Yubo Shi, Yubo Shi, Yuanyuan Zhang, Peng Wang, Ping Cui, Xinming Tang

“…Stringent thresholds were applied to pinpoint candidate genes, followed by annotation and analysis of their potential functions.Results and discussionThe genetic diversity of MR parasites remained stable across generations, despite varying drug concentrations. …”
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Investigation of Thermoelectric Properties in Altermagnet RuO₂ by Jun Liu, Chunmin Ning, Xiao Liu, Sicong Zhu, Shuling Wang

“…In addition, thermoelectric efficiency emphasizes the potential of RuO₂ to link antiferromagnetic robustness with ferromagnetic spin functionality. These findings promote the development of efficient spintronic devices and spin-based storage technology for waste heat recovery and emphasize the role of spin splitting in zero-magnetization systems.…”
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Machine learning-based prediction of FeNi nanoparticle magnetization by Federico Williamson, Nadhir Naciff, Carlos Catania, Gonzalo dos Santos, Nicolás Amigo, Eduardo M. Bringa

“…More than 1600 NPs were created and split into training and testing sets (70%–30% split), with features including the number of Ni/Fe surface and core atoms, potential energy distributions, pair correlation functions, and coordination distributions. Several machine-learning algorithms, including Random Forest (RF), Elastic Net, Support Vector Regression (SVR), and Gradient Boosting Regression (CatBoost), were applied to predict the average magnetic moment per atom of these NPs. …”
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Influence of forest structural complexity on small mammal body condition and its impact on tick burden and pathogen prevalence by Tosca Vanroy, Lander Baeten, An Martel, Bram Catfolis, Manoj Fonville, Luc Lens, Frank Pasmans, Hein Sprong, Diederik Strubbe, Elin Verbrugghe, Kris Verheyen

“…Abstract Background More and more forest management focuses on increasing structural complexity to improve environmental conditions for biodiversity and forest functioning. However, it remains uncertain whether animal populations also benefit from increased forest structure. …”
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A novel integrated TDLAVOA-XGBoost model for tool wear prediction in lathe and milling operations by Zhongyuan Che, Chong Peng, Chi Wang, Jikun Wang

“…Machine learning models, particularly eXtreme Gradient Boosting (XGBoost), demonstrate pattern recognition capabilities for such predictions. …”
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