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  1. 1001

    Associations between serum lipid levels and cognitive impairment in hypertensive patients: a case-control study by Shunxin Lv, Huachen Jiao, Xia Zhong, Ying Qu, Mengdi Zhang, Rui Wang, Donghai Liu, Xipeng Yan

    Published 2025-07-01
    “…Spearman’s correlation coefficient was used to analyze the correlation of serum lipid levels with MMSE scores and PSQI total scores in hypertensive patients. …”
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  2. 1002

    Five percent CO2 inhalation alleviates hippocampal glutamate and water homeostasis disturbance, neuronal damage, and learning‐memory impairment in sleep‐deprived rats by Zhihong Zhao, Xiaojun Zhang, Xiaolei Zhang, Shiyan Xie, Yue Chen, Lingfeng Lai, Lijing Xin, Jitian Guan, Yan Lin, Renhua Wu

    Published 2024-09-01
    “…Results We found that 5% CO2 inhalation facilitated the recovery of hippocampal glutamate concentration (7.549 ± 0.310, 8.716 ± 0.463, and 7.493 ± 0.281 mmol/L at Days 1, 3, and 5 in Group 3, F2, 15 = 22.06, p < 0.0001) and hippocampal apparent diffusion coefficient mean value (8.210 ± 0.274, 7.685 ± 0.171, 8.265 ± 0.269 at Days 1, 3, and 5 in Group 3, F2, 15 = 10.45, p = 0.0014), enhanced expression level of astrocyte‐specific membrane protein glutamate transporter‐1, promoted the polarized distribution of aquaporin 4, reduced hippocampal neuronal damage and improved learning‐memory ability in sleep‐deprived rats. …”
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  3. 1003

    Improvement in genetic evaluation of quantitative traits in sheep by enriching genetic model with dominance effects by Farhad Ghafouri-Kesbi, Morteza Mokhtari, Mohsen Gholizadeh

    Published 2025-08-01
    “…The Akaike’s information criterion (AIC) was used to rank models. The predictive ability of models was measured using the mean squared error of prediction (MSE) and Pearson’s correlation coefficient between the real and predicted values of records (r( $$\:y$$ , $$\:\widehat{y}$$ )). …”
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  4. 1004

    A Novel Electrical Load Forecasting Model for Extreme Weather Events Based on Improved Gated Spiking Neural P Systems and Frequency Enhanced Channel Attention Mechanism by Yuanshuo Guo, Jun Wang, Yan Zhong, Tao Wang, Zeyuan Sui

    Published 2025-01-01
    “…Frequency enhanced channel attention mechanism (FECAM) is utilized to enhance the features extraction ability of temporal convolutional network (TCN) and improve prediction ability of GSNP systems. …”
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  5. 1005

    Modelling the Trend of Zagros Forest Degradation using Logistic Regression (Case study: Chardavol Forest of Ilam province) by Ali Mahdavi, Somayeh Rangin, Hossein Mehdizadeh, Vahid Mirzaei Zadeh

    Published 2018-09-01
    “…In addition, the results of modelling showed that aspect variable with the highest coefficient (0.7267) is probably the most biophysical factor affecting on deforestation in the study area. …”
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  6. 1006

    The Mediating Role of Emotional Intelligence on the Relationship between Organizational Culture and Job Performance of Accounting Staff in Yazd, Iran by Zohreh Arefmansh, Habib Ansari Samani, Fatemeh Zare Bidaki, Masoumeh Sadat Mousavi

    Published 2022-11-01
    “…Also, organizational culture as an independent variable exerts a direct effect on job performance as a dependent variable with a coefficient of 0.68 (P=0.001); indirectly, emotional intelligence is considered as a mediator with a coefficient of 0.129 (P=0.000) with a total effect of 0.81. …”
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  7. 1007

    Reliability and validity of the Clinical pHysical rEsilience assEssment Scale (CHEES) in community-dwelling older adults by Yiwen Xing, Pan Liu, Wenhua Yu, Yiwei Zhao, Zhibin Wang, Yue Wu, Xue Gao, Yu Wang, Yansu Guo, Yumin Wang, Yi Tang, Lina Ma

    Published 2025-09-01
    “…Background: Physical resilience is closely related to healthy aging and refers to the ability of an individual to recover or maintain function after a stressor. …”
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  8. 1008

    A New Generation of Hydrological Condition Simulator Employing Physical Models and Satellite‐Based Meteorological Data by Wenchao Ma, Kenshi Hibino, Kosuke Yamamoto, Misako Kachi, Riko Oki, Haruya Yoshikawa, Kei Yoshimura

    Published 2024-11-01
    “…When comparing snow depth results, the correlation coefficient ranged between 0.644 and 0.658, while for soil moisture it ranged between 0.471 and 0.494. …”
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  9. 1009

    Silvicultural and Ecological Characteristics of <i>Populus bolleana</i> Lauche as a Key Introduced Species in the Urban Dendroflora of Industrial Cities by Vladimir Kornienko, Valeriya Reuckaya, Alyona Shkirenko, Besarion Meskhi, Anastasiya Olshevskaya, Mary Odabashyan, Victoria Shevchenko, Svetlana Teplyakova

    Published 2025-07-01
    “…Due to artificial narrowing and sanitary pruning of the crown, as well as skeletal branches dying along the busiest highways, the values do not exceed 22–23 m<sup>2</sup> on average, with an allometric coefficient of 0.35–0.37. When comparing this coefficient in the control areas, the crown area in areas with a high level of anthropogenic load is 36 ± 11% lower. …”
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  10. 1010

    Performance of the EULAR Systemic sclerosis Impact of Disease (ScleroID) questionnaire as a patient-reported outcome measure for patients with diffuse systemic sclerosis by Ulf Mueller-Ladner, Marco Matucci-Cerinic, Yannick Allanore, Oliver Distler, Cosimo Bruni, Otylia Kowal-Bielecka, Kim Fligelstone, Roger Hesselstrand, László Czirják, Carina Mihai, Gunnel Sandqvist, Rucsandra Dobrota, Patricia E Carreira, Ana Maria Gherghe, Tore Kvien, Turid Heiberg, Alexandru Garaiman, Mike Oliver Becker, Annelise Roennow, Ann Tyrrell Kennedy, Chris Denton

    Published 2024-11-01
    “…ScleroID showed a good consistency and discriminative ability with excellent test–retest reliability (intraclass correlation coefficient 0.89, 95% CI (0.84, 0.92)) and moderate sensitivity to change (standardised response mean −0.63 in the improved subgroup and 0.48 in the worsened subgroup), but superior to the comparators.Conclusion The European Alliance of Associations for Rheumatology (EULAR) ScleroID performs well for patients with dcSSc. …”
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  11. 1011

    Assessment of prostate cancer aggressiveness through the combined analysis of prostate MRI and 2.5D deep learning models by Yalei Wang, Yuqing Xin, Baoqi Zhang, Fuqiang Pan, Xu Li, Manman Zhang, Yushan Yuan, Lei Zhang, Peiqi Ma, Bo Guan, Yang Zhang

    Published 2025-06-01
    “…To ensure consistency in feature extraction, intraclass correlation coefficient (ICC) analysis was performed on features extracted by radiologists, followed by feature normalization using the mean and standard deviation of the training set. …”
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  12. 1012

    Calibration and Verification of the AquaCrop Model in Simulating the Yield, Dry Matter and Water Productivity of Grain Corn (Zea mays L.) under Different Irrigation Methods and Nit... by zhaleh zarei, Hassan Heidari, Saeid Jalali Honarmand, Ali Bafkar

    Published 2025-12-01
    “…According to the obtained results, it can be concluded that AquaCrop was chosen well and within the expectations for the studied area and the ability of AquaCrop in the field to provide a low irrigation model like the wick method is suitable and practical.…”
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  13. 1013

    Evaluation of Yield, Yield Component and Usefulness Indices of Bean (Phaseolus vulgaris) and Maize (Zea mays) Intercropping under Inoculation with Rhizobium phaseoli by Ebrahim Zolfagari Kotbehsara, Peyman Sharifi, Mohammad Hossein Ansari

    Published 2025-12-01
    “…This shift indicates that maize had a lower competitive ability compared to beans in inoculated conditions within the mixed cropping system.  …”
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  14. 1014

    Varieties of Democracy and Economic Complexity in Developing and Developed Countries; A Comparative Study by Hoda Zobeiri, Maryam Ehsani

    Published 2025-03-01
    “…Aim and Introduction Economic complexity means a country's ability to produce and export more diverse products with less inclusiveness. …”
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  15. 1015

    Validation of the Portuguese Version of IBD-Control Questionnaire and Comparison with IBD-Disk by Tânia Carvalho, Joana Franco, Andreia Guimarães, José Damasceno Costa, Sofia Mendes, Tiago Leal, Ana Rebelo, Bruno Arroja, Raquel Gonçalves, João Bruno Soares

    Published 2024-10-01
    “…We compared the usability (3 questions) and the ability to identify good disease control (area under the curve [AUC]) of IBD-Control and IBD-Disk. …”
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  16. 1016

    Association between the ratio of triglycerides to high-density lipoprotein cholesterol and nocturnal hypertension: a cross-sectional study in a Chinese population by Hezeng Dong, Zhaozheng Liu, Jinling Zhang, Ye Han, Jing Zhang, Yazhi Xi, Liping Chang, Yue Deng

    Published 2025-05-01
    “…However, the predictive ability is limited, and further studies are necessary to incorporate larger sample sizes and longitudinal designs. …”
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  17. 1017

    Efectos genéticos de la formación de calosa en ápices radicales de líneas de maíz resistentes y susceptibles a suelos ácidos Genetic effects in callose content in root apex of inbr... by Alba Lucía Arcos, Luis Alberto Narro, Fredy Salazar, Creuci Caetano

    Published 2007-01-01
    “…Heterosis varied from -21.2% to 276.3%. General combining ability (GCA) and specific combining ability (SCA) were highly significant indicating that both, additive and non-additive gene effects were important for callose inheritance. …”
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  18. 1018

    HD-6mAPred: a hybrid deep learning approach for accurate prediction of N6-methyladenine sites in plant species by Huimin Li, Wei Gao, Yi Tang, Xiaotian Guo

    Published 2025-05-01
    “…Although existing methods have achieved great success, there remains a pressing need for improved prediction accuracy and generalization cap ability across diverse species. This study aimed to develop a robust method to address these challenges. …”
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  19. 1019

    A prediction approach to COVID-19 time series with LSTM integrated attention mechanism and transfer learning by Bin Hu, Yaohui Han, Wenhui Zhang, Qingyang Zhang, Wen Gu, Jun Bi, Bi Chen, Lishun Xiao

    Published 2024-12-01
    “…The performances among the models are compared by the mean absolute error, root mean square error and coefficient of determination. Results LSTM outperforms than others, and TCN has the worst generalization ability. …”
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  20. 1020

    Enhancing energy management in battery electric vehicles: A novel approach based on fuzzy Q-learning controller by Salma Ariche, Zakaria Boulghasoul, Abdelhafid El Ouardi, Abdelhadi Elbacha, Abdelouahed Tajer, Stéphane Espié

    Published 2025-07-01
    “…In the performed tests, the FQLC’s ability to manage energy use contributed to range extensions in certain cases, achieving an increase of up to 11 km. …”
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