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  1. 2981

    Optimization of a novel Renealmia ligulata (Zingiberaceae) essential oil extraction method through microwave-assisted hydrodistillation by José Leonardo Cano Botero, Yeferson Ospina Balvuena, Jorge Andrés Gutiérrez Cifuentes, María del Pilar Sepulveda Nieto, Eunice Ríos Vásquez

    Published 2024-05-01
    “…Three MAHD extraction variables (radiation power, radiation exposure length, and solvent volume) were studied on their own and in combination using a response surface analysis to determine the value combinations leading to optimal EO yields. …”
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  2. 2982

    Hematological profile in natural progression of giardiasis: kinetics of experimental infection in gerbils by Frederico Ferreira Gil, Luciana Laranjo Amorim Ventura, Joice Freitas Fonseca, Helton Costa Saniago, Haendel Busatti, Joseph Fabiano Guimarães Santos, Maria Aparecida Gomes

    Published 2018-06-01
    “…Hematological variables have been tested. Results: White blood cells have not presented meaningful alterations during the course of the infection. …”
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    Article
  3. 2983

    Assessing the Effects of Climate Change and Anthropogenic Contributions in Parishan Wetland, Iran by Mohammad Kazemi Garajeh, Khalil Valizadeh Kamran, Bakhtiar Feizizadeh, Omid Ghaffari Aliabad, Mousa Saei, Amin Sadeqi

    Published 2025-02-01
    “…The Pearson correlation test was used to assess the relationships between these variables and wetland health. Also, non-parametric Mann–Kendall (MK) and Pettitt tests were employed to identify monotonic trends and shifts in the time series. …”
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    Article
  4. 2984

    Optimization of Adaptive I<sup>2</sup>H &#x221E; Control Method Based on Multiple Input Sensors by Yu Gu, Hanyang Li, Zeting Mei, Hao Wen, Yuanxiong Jin, Wenxuan Dong

    Published 2025-01-01
    “…The core contributions of this study include: 1) Designing a multi-sensor current reference estimator to dynamically generate the optimal electromagnetic torque through state variables such as wheel speed, acceleration, slope, and human factor database (heart rate, subjective score, fatigue index) to achieve real-time prediction of rider demand; 2) Proposing an adaptive current reference value estimation algorithm that integrates feedforward compensation and error feedback to ensure smooth switching of assistance modes and suppress sensor noise; 3) Developing an intention-induced H<inline-formula> <tex-math notation="LaTeX">$\infty $ </tex-math></inline-formula> robust current tracking controller that significantly enhances the system&#x2019;s robustness to parameter fluctuations and external disturbances by optimizing the H<inline-formula> <tex-math notation="LaTeX">$\infty $ </tex-math></inline-formula> norm of the closed-loop transfer function, while supporting personalized riding assistance.…”
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  5. 2985

    Exploring New Development Codes in an Era of “Land-Driven Development” Model Depletion via a Systematic Analysis of the Operational Mechanisms of Urban Land Property Rights by Yingying Tian, Guanghui Jiang, Siduo Wu

    Published 2025-02-01
    “…The results highlight the new code of “value-driven development” when the “land-driven development” model is weakening.…”
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    Article
  6. 2986

    Utilization of Immobilized Green Algae Scenedesmus qudricauda as A Sustainable Method to Remove Some Industrial Textile Dyes by Zahraa Hussein Obaid, Jasim M. Salman, Shaimaa Satae M. Ali, Esraa Abdul-Adel, Sarab A. Juda

    Published 2025-06-01
    “…The research aims to investigate the capacity of Scenedesmus quadricauda algae to adsorb textile dyes Reactive Yellow 145, and Disperse Yellow 114 from aquatic media by studying the effects of 5 variables on the dye removal efficiency, including initial dye concentration (10-50 ppm), contact time (3-12 days), pH (5-9), temperature (4-40 C°), and adsorbent dosage (0.1-2.5 g L-1) The current study's results revealed that the immobilized algae achieved the highest color removal percentages of 98% and 97% for the dyes Reactive Yellow 145 and Disperse Yellow 114, respectively. …”
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  7. 2987

    Telemedicine Facilitates CHF Home Health Care for Those with Systolic Dysfunction by Pennie S. Seibert, Tiffany A. Whitmore, Carin Patterson, Patrick D. Parker, Caitlin Otto, Jean Basom, Nichole Whitener, Christian G. Zimmerman

    Published 2008-01-01
    “…Concurrently, we assessed participants' perceptions of the value of having a telemedicine unit. Participants in the telemedicine group reported weighing more times a week with less variability than did the control group. …”
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  8. 2988

    Blast-cooling of beef-in-sauce catering meals: numerical results based on a dynamic zero-order model by Jose A. Rabi, Evelyne Derens-Bertheau, Elisabeth Morelli, Isabelle Trezzani-Harbelot

    Published 2014-10-01
    “…The average value and standard deviation results were hc = 12.0 &plusmn; 4.1 W m&minus;2 K &minus;1 , whilst the lowest values (associated with the worst cooling scenarios) were about hc &asymp; 6.0 W m&minus;2 K &minus;1 .Convective heat transfer…”
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  9. 2989

    Parametric study and optimisation of supercritical extraction of Chlorella Vulgaris microalgae using Response surface methodology by Milap G. Nayak, Reena D. Gamit

    Published 2025-12-01
    “…High R2 and R2adj values confirmed the effectiveness of a quadratic model in describing the effects of both single and interaction variables. …”
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  10. 2990

    Determinants of outbound logistics performance in selected Sub-Saharan Africa countries: a panel data analysis by Enock Musau Gideon, Noleen N. Pisa, Chengete Chakamera

    Published 2024-11-01
    “…The research focuses on understanding how these variables interact over time and across countries.</p><p><strong>Findings/results</strong><br /> The analysis reveals that timely delivery of consignments significantly enhances logistics performance, while customs clearance processes negatively impact it. …”
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  11. 2991

    Enhancing environmental observatories with fog computing by Ammar Kazem, Guillaume Pierre, Laurent Longuevergne

    Published 2025-04-01
    “…We explore and review the value of Fog Computing, a technical solution bringing intelligence to operate adaptive heterogeneous sensor networks and comply with the challenge to capture intermittent to long-term temporal variability with an intermittent source of energy.…”
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  12. 2992

    Prevalence of Undernutrition and Associated Factors among Lactating Mothers of Angecha District, Kembata Tembaro Zone, Southern Ethiopia by Moges Muluneh Boke, Aman Yesuf, Befikadu Tariku Gutema

    Published 2021-01-01
    “…A multivariable logistic regression model was fitted, and the adjusted odds ratio (AOR) at a p value less than 0.05 was used to determine a statistically significant association between predictors and outcome variables. …”
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  13. 2993

    Evaluation of Sarcopenia screening indices as predictors of mortality in older patients with Alzheimer’s disease by Xinjie Song, Sha Huang, Mei Li, Xiaoyan Chen

    Published 2024-12-01
    “…Overall survival (OS) represented the time from hospital admission to death/final follow-up. …”
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  14. 2994

    Development and validation of a nomogram for predicting severe adenovirus pneumonia in children by Changjiang Yu, Yongsheng Xu

    Published 2025-04-01
    “…Univariate and multivariate logical regression were used to select the variables of SAP. Select the prediction factor, construct the prediction model, and express the prediction factor with nomogram. …”
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  15. 2995

    Effect of breastfeeding for 6 months on disease outcomes in patients with Kawasaki disease. by Mindy Ming-Huey Guo, I-Hsin Tsai, Ho-Chang Kuo

    Published 2021-01-01
    “…Continuous data was compared using Student's t-test and categorical variables were compared using Chi-square. Stepwise multivariate regression of all demographic factors was performed.…”
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  16. 2996

    A new nomogram for predicting extraurothelial recurrence in patients with upper urinary tract urothelial carcinoma following radical nephroureterectomy by Hao Wu, Dan Jia, Xianyu Dai, Hongliang Cao, Fulin Wang, Tong Yang, Lei Wang, Tao Xu, Baoshan Gao

    Published 2024-11-01
    “…We have also built a network calculator that calculates patient survival time. The URL is https://haowu24.shinyapps.io/dynnomapp.ConclusionA nomogram for predicting distant metastases in UTUC patients was successfully developed, and its accuracy, reliability, and clinical value were demonstrated. …”
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  17. 2997

    A pilot study of the performance of Chat GPT and other large language models on a written final year periodontology exam by Shaun Ramlogan, Vidya Raman, Shayn Ramlogan

    Published 2025-05-01
    “…Chat GPT is expected to learn and improve with time. Thus, the aim was to longitudinally compare the performance of the current versions of Chat GPT-4/GPT4o with that of final-year DDS students on a written periodontology exam. …”
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  18. 2998

    Prevalence of dental caries in hospitalized patients with schizophrenia by Đorđević Vladan, Jovanović Mila, Miličić Biljana, Stefanović Vesna, Đukić-Dejanović Slavica

    Published 2016-01-01
    “…The structure of the DMF index in the study group showed that caries and extracted teeth dominated with 88.1%; in the control group, filled teeth dominated with 55.6%, which was a statistically significant difference for all the three observed variables. Conclusion. Hospitalized patients with schizophrenia had twice as many caries and extracted teeth, and five time less filled teeth than healthy people. …”
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  19. 2999

    Thiamine administration and in-hospital mortality in patients with traumatic brain injury: analysis of the MIMIC-IV database by Shuangqi Gao, Zhendan Zhu, Wenhan Zheng

    Published 2025-04-01
    “…Subgroup analysis was also performed to determine if this association differed for subgroups classified using different variables including age (&lt;65 years and ≥65 years), gender (male and female), and the severity of TBI (mild, moderate, and severe).ResultsThe median follow-up time was 6.77 (3.98, 12.94) days, and the in-hospital mortality rate for the population was approximately 14.1%. …”
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    Article
  20. 3000

    Estimation and Model Misspecification for Recurrent Event Data with Covariates Under Measurement Errors by Ravinath Alahakoon, Gideon K. D. Zamba, Xuerong Meggie Wen, Akim Adekpedjou

    Published 2024-12-01
    “…For subject <i>i</i>, we monitor an event that can occur multiple times over a random observation window [0, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>τ</mi><mi>i</mi></msub></semantics></math></inline-formula>). …”
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