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  1. 4941

    Interspecific Variations in Interplant Communication and Ecological Characteristics in Trees by Akira Yamawo, Tomika Hagiwara, Satomi Yoshida, Misuzu Ohno, Riku Nakajima, Yusuke Mori, Tamayo Hayashi, Hiroki Yamagishi, Kaori Shiojiri

    Published 2025-01-01
    “…ABSTRACT Plants evolve diverse communication systems in adapting to complex and variable environments. Here, we examined the relationship between plant architecture, population density and inter‐plant communication within tree species. …”
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  2. 4942

    The Cancer-Associated Virus Landscape in HIV Patients with Oral Hairy Leukoplakia, Kaposi's Sarcoma, and Non-Hodgkin Lymphoma by Peter D. Burbelo, Joseph A. Kovacs, Jason Wagner, Ahmad Bayat, Craig S. Rhodes, Yvonne De Souza, John S. Greenspan, Michael J. Iadarola

    Published 2012-01-01
    “…However, anti-p24 HIV antibody levels were highly variable and some OLP and KS patients demonstrated weak or negative responses. …”
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  3. 4943
  4. 4944

    Pore-Throat Differences Across Flow Units in Low-Permeability Sandstone Reservoirs: Impact on Movable Fluid Saturation in the Triassic Chang 6 Reservoir, Jiyuan Oilfield, Ordos Bas... by Pan Li, Jian Yan, Rui Hu, Ming Han, Jiangang Bai

    Published 2025-01-01
    “…These reservoirs exhibit intricate heterogeneity, variable seepage behaviors, and complex remaining oil distribution. …”
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  5. 4945

    Inhaled methoxyflurane (Penthrox) use in the outpatient and ambulatory setting: a systematic review by Paul Smith, T Justin Clark, Prathiba M De Silva, Bibi Zeyah Fatemah Sairally

    Published 2025-02-01
    “…Similarly, the NRSIs showed variable results. Most patients were satisfied (63% to >98%; seven studies) with Penthrox, and seven out of eight studies reported that the majority of participants would use it again (46.8%–95%; eight studies). …”
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  6. 4946

    Smart forecasting: Enhancing virtual power plant performance with analytical frameworks by Maja Celeska Krstevska, Petar Krstevski, Mare Srbinovska, Vesna Andova, Aleksandra Krkoleva Mateska

    Published 2025-06-01
    “…A comparative analysis with linear regression highlighted the superior performance of ARIMA models, particularly in capturing seasonal patterns and handling the inherent variability of solar radiation. ARIMA (1,0,5) model was selected as the most efficient, with highest accuracy during summer, confirmed by the Mean Absolute Error (MAE) of 1.219 and R² = 0.899, likely due to stable and high levels of solar radiation. …”
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  7. 4947
  8. 4948

    Gain-Scheduled Disturbance Observer-Based Saturated Controllers for Non-Linear First-Order System by Mikulas Huba, Pavol Bistak, Damir Vrancic

    Published 2025-03-01
    “…The aforementioned controllers, albeit under the name of proportional–integral–derivative (PID) controllers, are still the most commonly used control solutions in practice. …”
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    Article
  9. 4949

    Mechanically Powered Negative Pressure Dressing Enhances Surgical Incision Cosmesis: A Randomized Trial by Brian Williams, MD, Abhinav Gupta, MD, Jordan Martucci, MD, Aubrey Swinford, MD, Kyle G. Cologne, MD, Sarah E. Koller, MD, Joongho Shin, MD

    Published 2025-02-01
    “…Cosmetic appearance of incisions remains one of the most important aspects of the patient recovery experience. …”
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  10. 4950

    Analysis of a Mathematical Model of Zoonotic Visceral Leishmaniasis (ZVL) Disease by Goni Umar Modu, Suphawat Asawasamrit, Abdulfatai Atte Momoh, Mathew Remilekun Odekunle, Ahmed Idris, Jessada Tariboon

    Published 2024-11-01
    “…Sensitivity analysis is conducted for the parameters in the basic reproduction number, and the profile of each state variable is also depicted using the data obtained from the literature and those assumed. …”
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  11. 4951

    Impact of taxation policy on tobacco consumption in Saudi Arabia by Hawazin Fahad Alotaibi, Nasser Abdullah Alsanea

    Published 2022-01-01
    “…Cigarette consumption was equated to cigarette imports (dependent variable), and correlation with the cigarette price, income, education, and unemployment was assessed as independent variables of interest. …”
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    Article
  12. 4952

    Evaluating the impact of undergraduate ophthalmology education on medical students’ competency in eye care: a cross-sectional study in Jordan by Rami Al-Omari, Khayry Al-Shami, Almu’atasim Khamees, Saja Karaja, Danya Radaideah, Omamah Shlool, Nedalaldeen Alnajadat, Ameera Basim Issa Etoom, Manar Al-Shami

    Published 2025-02-01
    “…Diagnostic abilities varied, with most students proficient in diagnosing common conditions like conjunctivitis and cataracts, but less so in identifying complex issues like intraocular foreign bodies. …”
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  13. 4953

    Techniques for monitoring Brachyramphus murrelets: A comparison of radar, autonomous acoustic recording and audio‐visual surveys by Jenna L. Cragg, Alan E. Burger, John F. Piatt

    Published 2016-03-01
    “…Of the 3 methods, radar sampled the largest area and detected silently flying murrelets, providing the most reliable data on local populations; however, radar identification of murrelets was unreliable in winds exceeding 18 km/hr. …”
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  14. 4954

    Heart Rate Measurement Accuracy During Intermittent Efforts Under Laboratory Conditions: A Comparative Analysis Between Chest Straps and Armband by Joaquín Martín Marzano-Felisatti, Leonardo De Lucca, José Ignacio Priego-Quesada, José Pino-Ortega

    Published 2024-12-01
    “…Heart rate (HR) is the most frequently used variable to monitor athletes’ internal load during training and competition. …”
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  15. 4955

    Optimization of total flavonoid content of ethanolic extract of Persicaria pulchra (Bl.) Soják for the inhibition of α-glucosidase enzyme by N. H.N. Do, T. M. Le, C. D.P. Nguyen, A. C. Ha

    Published 2020-09-01
    “…This rapid increase is accompanied by alarming costs of treatment. α-Glucosidase inhibitors are one of the most effective drugs employed for the reduction of postprandial hyperglycemia to manage Type 2 diabetes mellitus. …”
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  16. 4956

    Predicting in-hospital mortality in ICU patients with lymphoma using machine learning models. by Ling Xu, Guang Tu, Zhonglan Cai, Tianbi Lan

    Published 2025-01-01
    “…SHAP analysis highlighted the critical role of BUN as the most important factor in mortality prediction, followed by platelets and PT. …”
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  17. 4957

    Future Perspectives for Antiangiogenic Therapy in Retinal Diseases by M. V. Budzinskaya, A. A. Plyukhova

    Published 2021-10-01
    “…According to world statistics, the number of people with visual impairment is 1.3 billion, most of this number are people over 50 years old [2]. …”
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  18. 4958

    Model Development for Estimating Sub-Daily Urban Air Temperature Patterns in China Using Land Surface Temperature and Auxiliary Data from 2013 to 2023 by Yuchen Guo, János Unger, Tamás Gál

    Published 2024-12-01
    “…The importance assessment indicated that LST was the most important variable across all conditions, followed by specific humidity, and convective available potential energy. …”
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  19. 4959

    A Lumped Parameter Modelling Study of Idiopathic Intracranial Hypertension Suggests the CSF Formation Rate Varies with the Capillary Transmural Pressure by Grant A. Bateman, Alexander R. Bateman

    Published 2025-05-01
    “…The purpose of the current study is to define the most feasible explanation for these findings and to suggest a viable pathophysiology for IIH. …”
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  20. 4960

    Explainable machine learning models for identifying mild cognitive impairment in older patients with chronic pain by Xiaoang Zhang, Yuping Liao, Daying Zhang, Weichen Liu, Zhijian Wang, Yaxin Jin, Shushu Chen, Jianmei Wei

    Published 2025-01-01
    “…The Extreme Gradient Boosting (XGBoost) model performed best (AUC 0.925), with pain level, age, and depression as the most important variables. Conclusions We successfully developed 9 machine learning models to identify MCI risk. …”
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