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  1. 52481

    Older people and stroke: a machine learning approach to personalize the rehabilitation of gait by Elvira Maranesi, Federico Barbarossa, Leonardo Biscetti, Marco Benadduci, Elisa Casoni, Ilaria Barboni, Fabrizia Lattanzio, Lorenzo Fantechi, Daniela Fornarelli, Enrico Paci, Sara Mecozzi, Manuela Sallei, Mirko Giannoni, Giuseppe Pelliccioni, Giovanni Renato Riccardi, Valentina Di Donna, Roberta Bevilacqua

    Published 2025-05-01
    “…Gait analysis was conducted using the GaitRite system, measuring 39 spatio-temporal parameters.ResultsStatistical tests revealed no significant differences, but Principal Component Analysis identified a dominant structure. Machine learning (ML) algorithms—Random Forest (RF), Support Vector Machine (SVM), and k-Nearest Neighbors (KNN)—were employed for classification, with RF demonstrating superior performance in accuracy, precision, recall (all exceeding 85%), and F1 score compared to SVM and KNN. …”
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  2. 52482

    Effect of pretreatment type on the physico-chemical properties of activated carbons derived from an invasive weed Prosopis juliflora: potential applications by Subramaniyasharma Sivaraman, Saravanan Ramiah Shanmugam, Ponnusami Venkatachalam, Ratheeshkumar Shanmugam, Arul Chan Basha, Noori M Cata Saady

    Published 2025-01-01
    “…Results from this study revealed that the choice of activation agent significantly influences the material’s structure and chemistry. The activation process of activated carbon (AC) is significantly influenced by temperature and the agent used. …”
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  3. 52483

    Antiplasmodial activity of pentyloxyamide-based histone deacetylase inhibitors against Plasmodium falciparum parasites by Wisam A. Dawood, Gillian M. Fisher, Josefa Kremeyer, Fabian Fischer, Jessica L. Home, Christopher D. Goodman, Kwong Sum Lam, Alexander G. Maier, Thomas Kurz, Katherine T. Andrews

    Published 2025-12-01
    “…Furthermore, 4o was found to stabilise PfHDAC1 in P. falciparum protein lysates using solvent-induced protein stability Western blot assays with anti-PfHDAC1 antibody. Together, these data provide new structure-activity relationship and mechanistic insights on pentyloxyamide-based HDAC inhibitors as potential therapeutic starting points for malaria.…”
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  4. 52484

    Accounting for temporal and spatial autocorrelation to examine the effects of climate change on vegetation greenness trend in China by Lingwei Chen, Likai Zhu, Cuiyutong Yang, Zizhen Dong, Rui Huang, Jijun Meng, Min Liu

    Published 2025-05-01
    “…This method considers temporal and spatial autocorrelation structure, and aggregates pixel information to rigorously test the hypotheses about regional patterns. …”
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  5. 52485

    Molecular epidemiology of Neisseria gonorrhoeae isolates in Russia, 2015–2023: current trends and forecasting by Ilya Kandinov, Boris Shaskolskiy, Dmitry Kravtsov, Anatoliy Larkin, Alexei Kubanov, Marina Shpilevaya, Julia Shagabieva, Nikita Nosov, Dmitry Gryadunov

    Published 2025-02-01
    “…Two clusters of isolates pose a particular threat to Russia: NG-MAST G2212, linked to MLST 1901/1902, carries a mosaic structure in the penA gene; G12302, linked to MLST 9363, contains mosaic alleles in the mtrR and mtrD genes. …”
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  6. 52486

    A life cycle thinking-based environmental risk framework for screening sustainable feedstocks in early-stage bioeconomy projects by George Bishop, Carmen Girón-Domínguez, James Gaffey, Maeve Henchion, Réamonn Fealy, Jesko Zimmermann, Wriju Kargupta, David Styles

    Published 2025-06-01
    “…Criteria are proposed to structure evaluation of (i) probability and (ii) severity of environmental impact, in relation to four categories of feedstock: primary (determining product), high-value by-product, low-value by-product, and waste. …”
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  7. 52487
  8. 52488

    Genomic investigation of NDM-1 producing Enterobacterales transmission in a South Korean hospital by Jeong-Ih Shin, Sun Hee Park, Chulmin Park, Seung-Hyun Jung, Dong-Gun Lee

    Published 2025-06-01
    “…These plasmids contained conserved mobile genetic elements, including the IS26-dsbD-trpF-ble-blaNDM-1 structure. Conclusions: This study highlights the dual roles of clonal spread and plasmid-mediated horizontal gene transfer in the dissemination of blaNDM-1 in hospital settings. …”
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  9. 52489

    Isolation, Identification, and Molecular Genetic Characteristics of a Pathogenic Strain of <i>Streptococcus suis</i> Serotype 3 by Longbai Wang, Jingli Qiu, Bing He, Xuemin Wu, Qiuyong Chen, Quanxi Wang, Renjie Wu, Bohan Zheng, Lunjiang Zhou, Xiaohong Huang

    Published 2025-02-01
    “…Different <i>S. suis</i> serotypes exhibit diverse characteristics in population structure and pathogenicity. Epidemiology data underscore the importance of <i>S. suis</i> serotype 3 (SS3). …”
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  10. 52490

    School nutrition programs in Dubai: a landscape analysis by Reem AlGurg, Reem AlGurg, Nour Abu Mahfouz, Farah Otaki, Farah Otaki, Agnes Paulus, Agnes Paulus, Amar Hassan Khamis, Mohamad Alameddine

    Published 2025-07-01
    “…The stakeholders involved in developing and maintaining the respective SNPs and the intended outcomes of those programs also differed across the schools.ConclusionThis study highlights, in alignment with Sustainable Development Goals 3, 4, 9 and 17, the importance of the proposed reformation around SNPs in Dubai to take into account the governance structure on the local and national levels, quality assurance measures, stakeholder engagement, and programs’ intended outcomes and compositions. …”
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  11. 52491

    Gut microbiota characteristics in neonatal respiratory distress syndrome and the therapeutic potential of probiotics in recovery by Yongcheng Fu, Xiujuan Wang, Lintao Nie, Zhaorui Wang, Xiao Ma, Lijia Wu, Liping Han, Wenjun Fu, Ruoming Wang, Hongyan Ren, Da Zhang, Juan Ding

    Published 2025-04-01
    “…Probiotic intervention notably restored the gut microbiota structure in the NRDS group, particularly by enhancing the abundance of beneficial genera such as Streptococcus, Bifidobacterium, and Clostridium. …”
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  12. 52492

    Effects of perinatal variables on echocardiographic assessments of left ventricular dimensions in infants born large for gestational age: a prospective cohort analysis by Ahmed Amarah, Ibrahim Elmakaty, Iram Nadroo, Manoj Chhabra, Danthanh Hoang, Debbie Suk, Ali M. Nadroo, Nitin Ron, Beata Dygulska, Madhu B. Gudavalli, Pramod Narula, Ashraf Gad

    Published 2025-05-01
    “…Certain perinatal variables were identified as key determinants affecting various aspects of LV structure. These insights highlight the importance of considering these perinatal factors in neonatal cardiac assessments for early detection and intervention.…”
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  13. 52493

    The changing face of the Arctic: four decades of greening and implications for tundra ecosystems by Gerald V. Frost, Uma S. Bhatt, Matthew J. Macander, Logan T. Berner, Donald A. Walker, Martha K. Raynolds, Rúna Í. Magnússon, Annett Bartsch, Jarle W. Bjerke, Jarle W. Bjerke, Howard E. Epstein, Bruce C. Forbes, Scott J. Goetz, Elizabeth E. Hoy, Elizabeth E. Hoy, Stein R. Karlsen, Timo Kumpula, Trevor C. Lantz, Mark J. Lara, Efrén López-Blanco, Paul M. Montesano, Paul M. Montesano, Christopher S. R. Neigh, Ingmar Nitze, Kathleen M. Orndahl, Taejin Park, Taejin Park, Gareth K. Phoenix, Adrian V. Rocha, Brendan M. Rogers, Gabriela Schaepman-Strub, Hans Tømmervik, Mariana Verdonen, Mariana Verdonen, Alexandra Veremeeva, Anna-Maria Virkkala, Christine F. Waigl

    Published 2025-04-01
    “…Nonetheless, long-term increases in NDVI—commonly known as “the greening of the Arctic”—remain prominent across large areas in all available long-term spaceborne datasets and align with long-term shifts in vegetation structure documented in disparate Arctic regions. Common shifts reported from the Low Arctic, such as shrubification, generally portend declines in floristic diversity, and shifts in fauna that favor boreal forest species. …”
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  14. 52494
  15. 52495

    Advancing ocean monitoring and knowledge for societal benefit: the urgency to expand Argo to OneArgo by 2030 by Virginie Thierry, Hervé Claustre, Orens Pasqueron de Fommervault, Nathalie Zilberman, Kenneth S. Johnson, Brian A. King, Susan E. Wijffels, Udaya T. V. S. Bhaskar, Magdalena Alonso Balmaseda, Mathieu Belbeoch, Marine Bollard, Jacqueline Boutin, Phillip Boyd, Romain Cancouët, Fei Chai, Stefano Ciavatta, Rich Crane, Sophie Cravatte, Sophie Cravatte, Giorgio Dall’Olmo, Damien Desbruyères, Paul J. Durack, Andrea J. Fassbender, Katja Fennel, Yosuke Fujii, Florent Gasparin, Alberto González-Santana, Claire Gourcuff, Alison Gray, Helene T. Hewitt, Steven R. Jayne, Gregory C. Johnson, Nicolas Kolodziejczyk, Arnaud Le Boyer, Pierre-Yves Le Traon, Pierre-Yves Le Traon, William Llovel, M. Susan Lozier, John M. Lyman, John M. Lyman, Elaine L. McDonagh, Elaine L. McDonagh, Adrian P. Martin, Benoit Meyssignac, Kristian S. Mogensen, Tamaryn Morris, Peter R. Oke, Walker O. Smith, Breck Owens, Noé Poffa, Joanna Post, Dean Roemmich, Ryan R. Rykaczewski, Shubha Sathyendranath, Megan Scanderbeg, Carolyn Scheurle, Oscar Schofield, Karina von Schuckmann, James Scourse, Janet Sprintall, Toshio Suga, Toshio Suga, Marina Tonani, Esmee van Wijk, Esmee van Wijk, Xiaogang Xing, Hao Zuo

    Published 2025-06-01
    “…Effective and sustainable monitoring of the physical, biogeochemical state and ecosystem structure of the ocean, to enable climate adaptation, carbon management and sustainable marine resource management is urgently needed. …”
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  16. 52496

    Health poverty reduction effect of medical insurance in China’s middle-aged and elderly populations: a cross-sectional study by Haijun Yang, Rui Chen, Ye Li, Qunhong Wu, Linghan Shan, Bing Wu, Fang Yin, Yiyun Zhang, Yongqiang Lai, Xinwei Liu, Wanxin Tian, Xiyu Zhang, Yujuan Xu, Wenqing Miao, Baoguo Shi, Feifei Leng

    Published 2025-04-01
    “…Objectives In the context of demographic structure and disease spectrum changes: to study the role of the medical insurance system in providing protection and risk resilience for middle-aged and elderly vulnerable groups who are prone to impoverishment by medical expenses (IME), identify the vulnerable points and propose recommendations for improving the medical insurance system.Setting The research used data from the 2018 China Health and Retirement Longitudinal Study.Participants 9184 households were included in the research ultimately.Primary and secondary outcome measures We use the WHO’s recommended composite measure of disease-related poverty and algorithm to determine the occurrence of IME in households. …”
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  17. 52497

    Seeking Correlation Among Porin Permeabilities and Minimum Inhibitory Concentrations Through Machine Learning: A Promising Route to the Essential Molecular Descriptors by Sara Boi, Silvia Puxeddu, Ilenia Delogu, Domenica Farci, Dario Piano, Aldo Manzin, Matteo Ceccarelli, Fabrizio Angius, Mariano Andrea Scorciapino, Stefan Milenkovic

    Published 2025-03-01
    “…The automated protocol presented here could be used to inspect, in silico, many alternatives of a given molecular structure, with the output being the list of the best candidates to be then synthesized and tested. …”
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  18. 52498

    Interface characterization of Cu18150/Al1060/Cu18150 laminated composite produced by combined cast-roll and hot-roll technique by Mahmoud Ebrahimi, Yuchao Zhao, Huisheng Cai, Shokouh Attarilar, Zhengping Shang, Qudong Wang

    Published 2025-05-01
    “…Scanning electron microscopy (SEM) and energy-dispersive spectroscopy (EDS) analyses elucidate the formation of IMCs at the interfaces, with predicted formation sequences influenced by Gibbs free energy data. Electron backscatter diffraction (EBSD) analysis indicates that hot rolling promotes grain refinement in Cu18150, resulting in a homogeneous structure with elongated fine grains, while Al1060 shows nonuniform grain distribution. …”
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  19. 52499

    Identification and Analysis of <i>KAS II</i>, <i>FAT</i>, <i>SAD</i>, and <i>FAD</i> Gene Families in <i>Hippophae rhamnoides</i> by Alexander A. Arkhipov, Ekaterina M. Dvorianinova, Anastasia A. Turba, Roman O. Novakovskiy, Yury A. Zubarev, Pavel A. Predushchenko, Elizaveta A. Sigova, Daiana A. Zhernova, Elena V. Borkhert, Elena N. Pushkova, Chengjiang Ruan, Nataliya V. Melnikova, Alexey A. Dmitriev

    Published 2024-12-01
    “…As a result of structure and phylogenetic analyses, 4 <i>KAS II</i>, 8 <i>FAT</i>, 9 <i>SAD</i>, and 12 <i>FAD</i> genes were identified in the <i>H. rhamnoides</i> genome, which were classified into subfamilies: <i>KAS II, FATA</i>, <i>FATB</i>, <i>FAD2</i>, <i>FAD3</i>, <i>FAD6</i>, and <i>FAD7/8</i>. …”
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  20. 52500