Observation of the anomalous Nernst effect in altermagnetic candidate Mn5Si3 by Antonín Badura, Warlley H. Campos, Venkata K. Bharadwaj, Ismaïla Kounta, Lisa Michez, Matthieu Petit, Javier Rial, Miina Leiviskä, Vincent Baltz, Filip Krizek, Dominik Kriegner, Jakub Železný, Jan Zemen, Sjoerd Telkamp, Sebastian Sailler, Michaela Lammel, Rodrigo Jaeschke-Ubiergo, Anna Birk Hellenes, Rafael González-Hernández, Jairo Sinova, Tomáš Jungwirth, Sebastian T. B. Goennenwein, Libor Šmejkal, Helena Reichlova

“…To complement our measurements, we perform density-functional theory calculations of the momentum-resolved anomalous Nernst conductivity, highlighting the contributions of altermagnetic pseudonodal surfaces and ladder transitions to the Berry curvature. …”
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Empowering Particle Jamming Soft Gripper with Tactility via Stretchable Optoelectronic Sensing Skin by Liyan Mo, Wenhao Xie, Jingting Qu, Jiutian Xia, Yunquan Li, Yuanfang Zhang, Tao Ren, Yang Yang, Juan Yi, Changchun Wu, Yonghua Chen

“…Testing indicates that incorporating these sensors enhances the gripper's tactile sensing capabilities, with minimal impact on its particle jamming‐based grasping function. A single TSPJP can accurately detect various contact points and estimate the contract forces. …”
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Enhanced dry SO₂ capture estimation using Python-driven computational frameworks with hyperparameter tuning and data augmentation by Robert Makomere, Hilary Rutto, Alfayo Alugongo, Lawrence Koech, Evans Suter, Itumeleng Kohitlhetse

“…The data-driven models executed were multilayer perceptron, support vector regressor, random forest, categorical boosting, and light gradient boosting machine. The limited experimental samples were magnified to 342 datasets using the random interpolation and random scaling augmentation procedures and analyzed using the empirical cumulative distribution function and box plots. …”
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The examination of in vitro photosensitizing efficacy of aloe-emodin loaded liposome following photodynamic therapy on melanoma cell lines by Martyna Nowak-Perlak, Marta Olszowy, Piotr Kupczyk, Dorota Wrześniok, Magdalena Zaremba-Czogalla, Roksana Dębicka, Alicja Makarec, Jerzy Gubernator, Piotr Ziółkowski, Marta Woźniak

“…Aloe-emodin (A-E) was encapsulated in liposomes by using the copper ion gradient method. This study aimed to highlight the function of naturally occurring photoactive plant-based derivatives in liposomal formulations as simple alternative photosensitizers (PS) for melanoma photodynamic therapy (PDT). …”
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EARLY POSTOPERATIVE PERIOD AFTER ORTHOTOPIC HEART TRANSPLANTATION IN RECIPIENTS OF 60 YEARS AND OLDER by V. N. Poptsov, E. A. Spirina, S. G. Ukhrenkov, S. Yu. Ustin, E. Z. Aliev, S. A. Masyutin, V. Yu. Voronkov, N. S. Chibisov, D. M. Bondarenko, N. Z. Mebonija, N. P. Mozheyko, A. O. Shevchenko

“…Transpulmonary pressure gradient was 11.2 ± 2.7 mmHg, pulmonary vascular resistance – 3.5 ± 1.3 Wood units. …”
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YOLOv8n-WSE-Pest: A Lightweight Deep Learning Model Based on YOLOv8n for Pest Identification in Tea Gardens by Hongxu Li, Wenxia Yuan, Yuxin Xia, Zejun Wang, Junjie He, Qiaomei Wang, Shihao Zhang, Limei Li, Fang Yang, Baijuan Wang

“…Taking into account the pest image data collected from organic tea gardens in Yunnan, this study utilizes the YOLOv8n network as a foundation and optimizes the original loss function using WIoU-v3 to achieve dynamic gradient allocation and improve the prediction accuracy. …”
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Learning‐based tracking control of AUV: Mixed policy improvement and game‐based disturbance rejection by Jun Ye, Hongbo Gao, Manjiang Hu, Yougang Bian, Qingjia Cui, Xiaohui Qin, Rongjun Ding

“…Moreover, the optimal control problem under disturbances is formulated as a zero‐sum game, and the actor‐critic‐disturbance framework is introduced to approximate the optimal control input, cost function, and disturbance policy, respectively. Furthermore, the convergence property of the proposed algorithm based on the value iteration method is analysed. …”
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Optimized enrichment of murine blood–brain barrier vessels with a critical focus on network hierarchy in post-collection analysis by Hanaa Abdelazim, Audra Barnes, James Stupin, Ranah Hasson, Carmen Muñoz-Ballester, Kenneth L. Young, Stefanie Robel, James W. Smyth, Samy Lamouille, John C. Chappell

“…This vital role in neurological health and function has garnered significant attention from the scientific community and inspired methodology for enriching BBB capillaries. …”
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IACGAN-ST: A Fault Diagnosis Method for Scraper Conveyor Bearings Under Imbalanced Data Conditions by Hongwei Wang, Shengyu Guan, Xuesong Wang, Lijie Wang, Qun Zhang, Kaiman Liu, Zhiwen Fang, Hongli Wang

“…Subsequently, a Convolution and Attention Fusion Module (CAFM) is incorporated into the ACGAN generator to enhance the quality and diversity of generated samples. Moreover, a gradient penalty term is added to the discriminator’s loss function to improve training stability and mitigate mode collapse. …”
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Organic and inorganic fertilizers modulate the response of the soil microbiome to salinity stress by Halima Malal, Halima Malal, Joshua A. Garcia, Anna Marrs, Mohamed Ait Hamza, Courtney Emerson, Mallika Nocco, Hicham Lakhtar, Cristina Lazcano

“…Furthermore, it emphasizes the negative impacts of NPK fertilizer on soil microbial structure and function and hinder its recovery from salinity’s impacts.…”
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REGULARITIES OF VISCOSITY FORMATION OF CONDENSED FAT-FREE MILK WITH SUGAR FROM HEAT TREATMENT PARAMETERS by Aram G. Galstyan, Iskra A. Radaeva, Sergei A. Khurshudyan, Svetlana N. Turovskaya, Vladislav K. Semipyatniy, Elena E. Illarionovа

“…The analysis of the results of the change in the effective dynamic viscosity as a function of the shear gradient in the specified samples subjected to storage under extreme temperature conditions were carried out. …”
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Structural and topological analysis of thiosemicarbazone-based metal complexes: computational and experimental study of bacterial biofilm inhibition and antioxidant activity by Doaa S. El‑Sayed, Shaymaa S. Hassan, Liblab S. Jassim, Ali Abdullah Issa, Firas AL-Oqaili, Mustafa k. Albayaty, Buthenia A. Hasoon, Majid S. Jabir, Khetam H. Rasool, Hemmat A. Elbadawy

“…Also, other important topological analyses such as electron localization function and reduced density gradient, to establish the favorable noncovalent interactions, were studied. …”
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Dynamic Error Modeling and Predictive Compensation for Direct-Drive Turntables Based on CEEMDAN-TPE-LightGBM-APC Algorithm by Manzhi Yang, Hao Ren, Shijia Liu, Bin Feng, Juan Wei, Hongyu Ge, Bin Zhang

“…Our methodology comprises four key stages: Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN)-based decomposition of historical error data, development of component-specific prediction models using Tree-structured Parzen Estimator (TPE)-optimized Light Gradient Boosting Machine (LightGBM) algorithms for each Intrinsic Mode Function (IMF), integration of component predictions to generate initial values, and application of the Adaptive Prediction Correction (APC) module to produce final predictions. …”
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Transjugular Intrahepatic Portosystemic Shunt before Abdominal Surgery in Cirrhotic Patients: A Retrospective, Comparative Study by Evelyne Vinet, Pierre Perreault, Louis Bouchard, Denis Bernard, Ramses Wassef, Carole Richard, Richard Létourneau, Gilles Pomier-Layrargues

“…The present study suggests that preoperative TIPS placement does not improve postoperative evolution after abdominal surgery in cirrhotic patients with good or moderately impaired liver function.…”
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Lavender Exosome-Like nanoparticles attenuate UVB-Induced Photoaging via miR166-Mediated inflammation and collagen regulation by Sixu Li, Fei Liu, Song Zhang, Xin Sun, Xiaojing Li, Qiulin Yue, Le Su, Suzhen Yang, Lin Zhao

“…LELNs were purified using differential and sucrose density gradient centrifugation, with characterization through dynamic light scattering (DLS), nanoparticle tracking analysis (NTA), and transmission electron microscopy (TEM). …”
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Assessment of binary prediction of fraudulent advertisements in ATS candidate tracking cloud systems by V. V. Ligi-Goryaev, G. A. Mankaeva, T. B. Goldvarg, S. S. Muchkaeva, E. N. Dzhakhnaeva

“…The tkinter module was used for the graphical interface. The predict() function utilizes the trained model for predictions based on the feature vector.…”
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Comparing methods for glomerular filtration rate estimation by Xiaoqian Zhu, Tariq Shafi, Keith C. Norris, Jeannette Simino, Srishti Shrestha, Thomas H. Mosley, Michael E. Griswold, Seth T. Lirette

“… Abstract Background: The glomerular filtration rate (GFR), estimated from serum creatinine (SCr), is widely used in clinical practice for kidney function assessment, but SCr-based equations are limited by non-GFR determinants and may introduce inaccuracies across racial groups. …”
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Hybrid machine learning algorithms accurately predict marine ecological communities by Luciana Erika Yaginuma, Luciana Erika Yaginuma, Fabiane Gallucci, Danilo Cândido Vieira, Paula Foltran Gheller, Simone Brito de Jesus, Thais Navajas Corbisier, Gustavo Fonseca

“…In the supervised stage, these associations were modeled as a function of the environmental features by five supervised algorithms (Support Vector Machine, Random Forest, k-Nearest Neighbors, Naive Bayes, and Stochastic Gradient Boosting), using 80% of the samples for training, leaving the remaining for testing. …”
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Effectiveness of the GAEC standard of cross compliance retain terraces on soil erosion control by Paolo Bazzoffi, Lorenzo Gardin

“…Thus, they continue to exert a valuable environmental function in terms of production of public goods and services; in particular, in the decrease of hydrogeological risk.…”
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A Hybrid Path Planning Algorithm for Orchard Robots Based on an Improved D* Lite Algorithm by Quanjie Jiang, Yue Shen, Hui Liu, Zohaib Khan, Hao Sun, Yuxuan Huang

“…For global path planning, an enhanced D* Lite algorithm is used with a cost function that jointly considers centerline proximity, turning angle smoothness, and directional consistency. …”
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