Boundary-enhanced dual-stream network for semantic segmentation of high-resolution remote sensing images by Xinghua Li, Linglin Xie, Caifeng Wang, Jianhao Miao, Huanfeng Shen, Liangpei Zhang

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Research on Acoustic Field Correction Vector-Coherent Total Focusing Imaging Method Based on Coarse-Grained Elastic Anisotropic Material Properties by Tianwei Zhao, Ziyu Liu, Donghui Zhang, Junlong Wang, Guowen Peng

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Restoration of Turbid Underwater Images of Cobalt Crusts Using Combined Homomorphic Filtering and a Polarization Imaging System by Enzu Peng, Chengyi Liu, Haiming Zhao

“…Marine cobalt-rich crusts, extensively used in industries such as aerospace, automotive, and electronics, are crucial mineral resources located on the ocean floor. To effectively exploit these valuable resources, underwater imaging is essential for real-time detection and distribution mapping in mining areas. …”
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Effects of moderate-protein and high-protein diets, including mealworm meal or poultry by-product meal, on immunological variables in healthy adult dogs by Sophie-Kristin Heinze, Jürgen Zentek, Kathrin Büttner, Andreas Moritz, Nadine Paßlack

“…An interaction effect between the dietary protein source and protein level could be detected for the phagocytic activity of blood granulocytes as well as for the plasma concentrations of IgA and IgE. …”
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Advancing Predictive Healthcare: A Systematic Review of Transformer Models in Electronic Health Records by Azza Mohamed, Reem AlAleeli, Khaled Shaalan

“…Notably, case studies demonstrated a 30% boost in entity recognition accuracy in clinical notes and a 90% detection rate for malignancies in medical imaging. …”
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Tumor-specific CD8+ T cells from the bone marrow resist exhaustion and exhibit increased persistence in tumor-bearing hosts as compared with tumor-infiltrating lymphocytes by Ivan Borrello, Amy Thomas, Luca Biavati, Robert Leone, Elizabeth M Zawidzka, Claudio Zanettini, Luigi Marchionni

“…Importantly, in a competitive transfer experiment, BM T cells infiltrated the tumor more efficiently than TILs, displayed a higher polyfunctionality with interleukin-2, interferon-γ, tumor necrosis factor-α production and showed greater persistence compared with TILs.Conclusions T cells from the BM appear superior to TILs as a source of cells for cellular therapy. They possess a memory-enriched phenotype and exhibit improved effector function, greater persistence within a tumor-bearing host, and the capacity for increased tumor infiltration. …”
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Assessing the impact of diet formulation and age on targeted bacterial establishment in laboratory and mass-reared Mediterranean fruit fly using full-length 16S rRNA sequencing by Charles J. Mason, Rosalie C. Nelson, Mikinley Weaver, Tyler J. Simmonds, Scott M. Geib, Ikkei Shikano

“…The target bacterial isolate was detected in medfly when inoculated with liquid diet regardless of age, but those fed a slurry-based diet and a separate water source had less establishment. …”
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Assessing spatially-compounding drought probabilities in inter-basin water diversion: Insights from the Tao River water diversion project in China by Wan Zhou, Dedi Liu, Yufei Cheng, Junde Wang

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Gene expansion in the hawkmoth Manduca sexta drives evolution of food-associated odorant receptors by Megha Treesa Tom, Philipp Brand, Sascha Bucks, Jin Zhang, Mario Ernesto Escobar Huezo, Bill S. Hansson, Sonja Bisch-Knaden

“…Our results suggest a link between the studied OR expansion and enhanced detection of odors emitted by valuable nectar sources in M. sexta.…”
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Real-time monitoring of tea volatiles using soft ionization by chemical reaction in transfer with an online sampling interface by Tiange Gu, Jingyi Sun, Saiting Wang, Xiaokun Duan, Hongli Li, Charles Liu, David Da Yong Chen

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Combining dopamine and glucose sensings on paper devices for the metabolic study of neurosecretion by Rémi F. Dutheil, Dabeaurard Tho, Iman Pitroipa, Raphaël Trouillon

“…Glucose, the main source of energy of the human body, and dopamine, a major neurotransmitter, are two analytes widely investigated in the study of the brain. …”
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A novel approach to field data augmentation with remote sensing and machine learning in rangelands by Hailey E. Schmidt, Javier Osorio Leyton, Efrain Noa Yarasca, Sorin C. Popescu, Justinn J. Jones, Justin P. Wied, Xinyuan Wu

“…However, these ecosystems are increasingly threatened by woody plant encroachment (WPE), which impacts forage availability, habitat quality, and other ecosystem functions. Despite advances in remote sensing and machine learning (ML) for monitoring and managing WPE, a significant gap persists in providing effective, scalable, and high-quality training data to support early detection efforts. …”
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Monitoring Diversity Profiles of Forested Landscapes in the Mediterranean Spain: Their Contribution to Local and Regional Vascular Plant Diversity by José M. García del Barrio, David Sánchez de Ron, Francisco Auñón, Raquel Benavides, Rafael Alonso Ponce, Sergio González-Ávila, Francisco Bolaños, Sonia Roig, Marta Ortega Quero

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Synthesis and Production of Sweet-Tasting Protein in E. coli and Purification by Amylose Resin by F. Mansouri

“…MBP-brazzein system permits large-scale functional expression and purification of recombinant soluble proteins, providing a basis for the future study of structure and function of brazzein.…”
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Advanced Microgrid Protection Utilizing Zero Sequence Components With Hard-Ware-in-the-Loop Testing by Zahra Ghanem, Feras Alasali, Naser El-Naily, Hassen Loukil, Haytham Y. Mustafa, Saad M. Saad, Abdelaziz Salah Saidi, William Holderbaum

“…Secondly, the study demonstrates the use of Configurable Function Blocks (CFCs) in digital relays to dynamically adjust relay settings based on zero sequence current detection. …”
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An openEHR based infection control system to support monitoring of nosocomial bacterial clusters and contacts by Pascal Biermann, Claas Baier, Ann Christin Vietor, Benedikt Zacher, Tom Baumgartl, Tatiana von Landesberger, Michael Behnke, Michael Storck, Markus Petzold, Martin Kaase, HiGHmed lnfection Control Study Group, Dirk Schlüter, Michael Marschollek, Simone Scheithauer, Antje Wulff

“…Digital, routine data-driven solutions are promising, but often proprietary, non-interoperable, or limited in functional scope. The open-source Smart Infection Control System (SmICS) offers automatic calculations and interactive views on patients' movement and lab data, epidemic curves, contact networks, complemented by temporal-spatial visualizations. …”
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Expression and structural analysis of taste receptor genes in Iberian and Duroc pigs by Cristina Óvilo, Rita Benítez, Yolanda Núñez, Ramón Peiró-Pastor, Fabian García, Eduardo De Mercado, Emilio Gómez-Izquierdo, Juan García-Casco, Clemente López-Bote, María Muñoz

“…The objectives of this work were to deepen the understanding of the regulation of the function of taste receptor genes in the circumvallate papillae of obese Iberian pigs in comparison to Duroc pigs, and to characterize their genetic variation and associations with relevant production traits. …”
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Antiretroviral drug therapy does not reduce neuroinflammation in an HIV-1 infection brain organoid model by Samuel Martinez-Meza, Thomas A. Premeaux, Stefano M. Cirigliano, Courtney M. Friday, Stephanie Michael, Sonia Mediouni, Susana T. Valente, Lishomwa C. Ndhlovu, Howard A. Fine, Robert L. Furler O’Brien, Douglas F. Nixon

“…Abstract Background HIV-1-associated neurocognitive impairment (HIV-1-NCI) is marked by ongoing and chronic neuroinflammation with loss and decline in neuronal function even when antiretroviral drug therapy (ART) successfully suppresses viral replication. …”
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A Neural Device Inspired by Neuronal Oscillatory Activity with Intrinsic Perception and Decision‐Making by Congtian Gu, Guoliang Ma, Mengze Zhang, Hu Shen, Liaoyuan Pu, Yanhe Song, Shilong Yan, Dakai Wang, Kaixian Ba, Bin Yu, Zhiwu Han, Luquan Ren

“…The device utilizes alternating signals generated by coupling the human body with the power‐frequency electromagnetic field as both a signal source and energy source, mimicking neuronal oscillatory activity. …”
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A quantum inspired machine learning approach for multimodal Parkinson’s disease screening by Diya Vatsavai, Anya Iyer, Ashwin A. Nair

“…Although machine-learning-based detection has shown promise for detecting Parkinson’s disease, most studies rely on a single feature for classification and can be error-prone due to the variability of symptoms between patients. …”
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