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  1. 8441

    The Importance of Risk and Subgroup Analysis of Nonparticipants in a Geriatric Intervention Study by Elizabeth Rosted, Ingrid Poulsen, Carsten Hendriksen, Lis Wagner

    Published 2016-01-01
    “…Patients ≥70 years discharged home after a short Emergency Department stay. 399 were requested to participate; 271 consented, whereas 128 refused. …”
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  2. 8442

    Co-occurrence of a Mullerian anomaly and Kallmann syndrome: A case report by Lea C. George, Rebecca Gendelman, Anat Chemerinski, Pierre Lespinasse, Inessa A. Goldman, Sara Morelli

    Published 2025-03-01
    “…She reported previous short-term use of hormone replacement therapy, with onset of severe pelvic pain and vaginal bleeding following its discontinuation. …”
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  3. 8443

    Decline in Memory, Visuospatial Ability, and Crystalized Cognitive Abilities in Older Adults: Normative Aging or Terminal Decline? by R. Bendayan, A. M. Piccinin, S. M. Hofer, D. Cadar, B. Johansson, G. Muniz-Terrera

    Published 2017-01-01
    “…Measures of cognitive status (Mini-Mental State Examination and the Swedish Clock Test) and tests of crystallized (knowledge and synonyms), memory (verbal memory, nonverbal long-term memory, recognition and correspondence, and short-term memory), and visuospatial ability were included. …”
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  4. 8444

    Enhanced bioavailability of Quercetin-loaded niosomal in situ gel for the management of Parkinson’s disease by Abhishek A. Revankar, Archana S. Patil, Reshma Karishetti, Krutuja R. Chougule, Priyanka Patil, Abhijit Salokhe

    Published 2025-01-01
    “…In vivo evaluations conducted using the haloperidol-induced PD model revealed significant enhancements in behavioural, biochemical, and histopathological outcomes when compared to both disease controls and the standard treatment group. Additionally, short-term stability tests confirmed the robustness of the formulation.ConclusionThe findings suggest that the quercetin-loaded niosomal formulation offers improved drug delivery and efficacy, indicating its potential as a superior treatment option for PD compared to conventional dosage forms. …”
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  5. 8445

    Molecular Sex Identification in the Hardy Rubber Tree (Eucommia ulmoides Oliver) via ddRAD Markers by Wencai Wang, Guoqian Yang, Xin Deng, Fengqing Shao, Yongquan Li, Wei Guo, Hong Liang, Xianzhi Zhang

    Published 2020-01-01
    “…Our results also indicated that the sex of E. ulmoides is likely determined genetically. In short, this study provides a consistent and reproducible ddRAD marker (MSL4) that is able to discriminate male from female seedlings in E. ulmoides, which will be valuable for rapid breeding practice and better commercial production of this economically important tree.…”
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  6. 8446

    Distributed communication interference resource scheduling using the master-slave parallel scheduling genetic algorithm by Zhenhua Wei, Wenpeng Wu, Jianwei Zhan, Zhaoguang Zhang

    Published 2025-01-01
    “…In addition, there have been fewer scenario models for short-range distributed communication interference with a variable number of jamming devices and power constraints. …”
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  7. 8447

    Comparison of Attenuated Total Reflectance Mid-Infrared, Near Infrared, and 1H-Nuclear Magnetic Resonance Spectroscopies for the Determination of Coffee’s Geographical Origin by Jessica Medina, Diana Caro Rodríguez, Victoria A. Arana, Andrés Bernal, Pierre Esseiva, Julien Wist

    Published 2017-01-01
    “…Regarding origin determination, ATR-mIR and 1H-NMR showed comparable capacity to discriminate Colombian coffee samples, while NIR fell short by comparison. In conclusion, ATR-mIR, a less common technique in the field of coffee adulteration and fraud detection, emerges as a strong candidate, faster and with lower cost compared to 1H-NMR and more discriminating compared to NIR.…”
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  8. 8448

    Toward an Integrated Physiological Theory of Microbial Growth: From Subcellular Variables to Population Dynamics by Atul Narang, Sergei S. Pilyugin

    Published 2004-10-01
    “…Thesemodels can capture the steady-state behavior of pure and mixed cultures,but fall short of explaining most of the complex dynamic phenomena.This is because the onset of these complex dynamics is invariablydriven by one or more intracellular variables not accountedfor by phenomenological models.…”
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  9. 8449

    Effects of Grid Voltage and Load Unbalances on the Efficiency of a Hybrid Distribution Transformer by Alvaro Carreno, Mariusz Malinowski, Marcelo A. Perez, Jingyu Ding

    Published 2024-01-01
    “…The hybrid distribution transformer (HDT) has been proposed as a solution to cope with the low short-circuit capability of solid-state transformers. …”
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  10. 8450

    The role of insulin signaling with FOXO and FOXK transcription factors by Masaji Sakaguchi

    Published 2024-10-01
    “…The insulin receptor depends on the tyrosine phosphatase feedback of insulin signaling to maintain adipocyte insulin responsiveness. α4, a regulatory subunit of protein phosphatase 2A (PP2A), has been shown to play a crucial role in modulating insulin signaling pathways by regulating the phosphorylation status of key proteins involved in these pathways. This short review summarizes the current understanding of the molecular mechanism related to the regulation of insulin signals.…”
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  11. 8451

    Forecasting Geomagnetic Storm Disturbances and Their Uncertainties Using Deep Learning by D. Conde, F. L. Castillo, C. Escobar, C. García, J. E. García, V. Sanz, B. Zaldívar, J. J. Curto, S. Marsal, J. M. Torta

    Published 2023-11-01
    “…We implement a type of machine‐learning model called long short‐term memory (LSTM) network. Our scope is to estimate the prediction uncertainties coming from a deep‐learning model in the context of forecasting the SYM‐H index. …”
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  12. 8452

    Antiplatelet Therapy and Platelet Activity Testing for Neurointerventional Procedures by Keiko A Fukuda, Charles Beaman, Viktor Szeder

    Published 2025-01-01
    “…Other agents, such as ticagrelor and prasugrel, offer alternatives with different mechanisms of action and potential advantages. Additionally, short‐acting intravenous P2Y12 inhibitors, such as cangrelor, and glycoprotein IIb/IIIa inhibitors provide options for acute bridging therapy in neurointerventional cases. …”
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  13. 8453

    Numerical Investigation on Dynamic Performance of a Bridge-Tunnel Transition Section with a Deep Buried Pile-Plank Structure by Shuanglong Li, Limin Wei, Xiaobin Chen, Qun He

    Published 2020-01-01
    “…In this paper, a new type of bridge-tunnel transition section with a deeply buried pile-plank structure (DBPPS) for short-distance transition is introduced. A three-dimensional finite element model that considers vehicle-track-subgrade coupling vibration is proposed to study the dynamic performances of a DBPPS transition section in the Shanghai–Kunming high-speed railway. …”
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  14. 8454

    Noise Elimination for Wide Field Electromagnetic Data via Improved Dung Beetle Optimized Gated Recurrent Unit by Zhongyuan Liu, Xian Zhang, Diquan Li, Shupeng Liu, Ke Cao

    Published 2025-01-01
    “…Consequently, the current machine learning denoising techniques fall short in delivering precise processing of Wide Field Electromagnetic Method (WFEM) data. …”
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  15. 8455

    Impacts of grazing management strategies on forage canopy structure in multi-species pastures during the wet-dry transition period by L. F. Penteado, A. C. L. Batista, A. F. B. Ongaro, M. M. Vieira, F. F. Simili, R. L. D. Costa, C. M. P. Barbosa, S. D. Simão, F. M. A. Gimenes

    Published 2024-04-01
    “…The masses of grass leaf blades and stems were higher at heights of 45 and 60 cm (P = 0.002), while the proportion of dead material was smaller in these than in the short pastures (15 and 30 cm) (P = 0.0497). There was an increase in the proportion of dead material over the dry-water transition period. …”
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  16. 8456

    Optimization of TiO2-based UV-LED Photocatalytic System for Mixed Dyes and Pharmaceutical Contaminants by Zexiang Chen, Xue Kang, Chen Wang, Yongguo Li

    Published 2024-10-01
    “…The main reason for this discrepancy in effect was whether the rate-determining step of the degradation mechanism was affected by the light uniformity. The short wavelength and high working voltage of LEDs were conducive to the photocatalytic degradation of contaminants to a different degree. …”
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  17. 8457

    Service providers’ perspectives and reproductive (in)justice among Roma women: a qualitative study in Spain by María Félix Rodríguez-Camacho, María José Sanchís-Ramón, Gaby Ortiz Barreda, Diana Gil-González

    Published 2024-12-01
    “…The intention to include the Roma population’s situation in an inclusive narrative exists, although without short-term effects. Reproductive justice is an absent framework within professional intervention and the institutional system. …”
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  18. 8458

    Rolling Bearings Fault Diagnosis under Variable Speed Conditions Based on Multitime-Frequency Ridge Extraction by Qing Xiong, Yixuan Li, Xiaoli Qiu, Dong Yu, Weihua Zhang, Qingze Chen

    Published 2024-01-01
    “…First, the time-frequency representation of the fault signal is obtained through the adaptive short-time Fourier transform (STFT), and then the FPOMRE algorithm is used to extract additional ridges below the lowest time-frequency ridge multiple times. …”
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  19. 8459

    Důsledky tzv. Šmalkaldské války z let 1546-1547 pro vývoj měnové integrace Evropy by Petr Vorel

    Published 2008-01-01
    “…Charles V. was, however, shortly defeated by the imperial opposition, after 1555 he lived in seclusion and his project failed. …”
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  20. 8460

    Improving the Forecast Accuracy of PM<sub>2.5</sub> Using SETAR-Tree Method: Case Study in Jakarta, Indonesia by Dinda Ayu Safira, Heri Kuswanto, Muhammad Ahsan

    Published 2024-12-01
    “…PM<sub>2.5</sub> exhibits significant nonlinear fluctuations; thus, this study employed two machine learning approaches: self-exciting threshold autoregressive tree (SETAR-Tree) and long short-term memory (LSTM). The SETAR-Tree model integrates regime-switching capabilities with decision tree principles to capture nonlinear patterns, while LSTM models long-term dependencies in time-series data. …”
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