Parameterization of the Stomatal Component of the DO3SE Model for Mediterranean Evergreen Broadleaf Species by Roccío Alonso, Susana Elvira, María J. Sanz, Lisa Emberson, Benjamín S. Gimeno

“…A fairly good agreement was found between modeled and measured data (R2 = 0.64) at Tietar. However, a reasonable performance (R2 = 0.47–0.62) of the model was only achieved at the most continental sites when gs and soil moisture deficit relationships were considered. …”
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Constructing Attention-LSTM-VAE Power Load Model Based on Multiple Features by Chaoyue Ma, Ying Wang, Feng Li, Huiyan Zhang, Yong Zhang, Haiyan Zhang

“…The experimental results show that the Attention-LSTM-VAE model has the lowest mean absolute error of 0.0374 and the highest R-squared value of 0.9714, verifying the accuracy of the model. …”
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Ocular Biometric and Optical Coherence Tomography Parameters in Former Preterm Children: A Cohort Study by Marzieh Najjaran, Siamak Zarei-Ghanavati, Hadi Ostadimoghaddam, Abbasali Yekta, Nasser Shoeibi, Armin Hemmati, Mojtaba Abrishami, Saeed Akhlaghi, Mohammed Ziaei

“…The gestational age was negatively correlated with macular thickness in both treated and regressed ROP groups (r = −0.517; p=0.003, r = − 0.490; p=0.006, respectively). …”
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Virulence and Antimicrobial Resistance in Campylobacter spp. from a Peruvian Pediatric Cohort by Angela Lluque, Maribel Riveros, Ana Prada, Theresa J. Ochoa, Joaquim Ruiz

“…The presence of mutations in the gyrA, parC, and 23S rRNA genes was determined. The cadF gene and all genes from the cdtABC operon were significantly more frequent among C. jejuni (P<0.0001); the iam marker was more frequent in C. coli (P<0.0001). …”
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Storm water runoff studies in built-up watershed areas using curve number and remote sensing techniques by Arati Reddy Nilap, H. N. Rajakumara, Ali Aldrees, Hasan Sh. Majdi, Wahaj Ahmad Khan

“…The model satisfactorily predicted runoff from the simulated data analysis with evaluation criteria NSE = 0.9945, MAE = 5.4121, r = 0.9975, R2 = 0.9949, RMSE = 6.8117 and PBias = 1.1436. …”
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Association between CD4 Cell Count and Blood Pressure and Its Variation with Body Mass Index Categories in HIV-Infected Patients by Christian Akem Dimala, Benjamin Momo Kadia, Ben-Lawrence Kemah, Maxime Tindong, Simeon-Pierre Choukem

“…There was no linear association between log CD4 count and both systolic (p=0.200; r=0.12) and diastolic blood pressures (p=0.123; r=0.14), respectively. …”
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The Influence of Different Seeding Application Rates and Sowing Time on Maize Hybrids’ Productivity in the Conditions of the Republic of Bashkortostan’s Southern Forest-Steppe Zone... by Bulat Akhiyarov, Igor Kuznetsov, Rail Alimgafarov, Damir Islamgulov, Rishat Abdulvaleyev

“…The experiment revealed a high correlation dependence of the yield of green mass and grain on the sowing time (r = 0.876–0.915 and r = 0.951–0.963). In the conditions of the Republic of Bashkortostan’s southern forest-steppe, Baikal and Mashuk 171 hybrids are recommended to be used for animals and poultry diets and the planning of maize cultivation technological schemes at early sowing time (May 10) and a seeding application rate of 80 thousand pcs/ha. …”
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Development of hematite ore pellet utilizing mill scale and iron ore slime combination as additive by Rajshekar Y., Pal J., Venugopalan T.

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An effective electrocardiogram segments denoising method combined with ensemble empirical mode decomposition, empirical mode decomposition, and wavelet packet by Yaru Yue, Chengdong Chen, Xiaoyuan Wu, Xiaoguang Zhou

“…The mean SNR, MSE, RMSE, and R are 5.7427, 0.0071, 0.0551, and 0.9050 in the China Physiological Signal Challenge 2018 dataset. …”
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Relationship of Maternal Hemoglobin and the Intergenic Period with Birth Weight by Carlos Alberto Llerena Gómez, Evelyn Carolina Betancourt Rubio, Karen Aracelly Tobar Almendariz

“…A statistically significant positive correlation (r = 0.665; p &lt; 0.001) was identified between maternal hemoglobin, interpregnancy interval (r = 0.527; p &lt; 0.05) and newborn weight.…”
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Salivary stimulatory and anti-inflammatory effects of aqueous Lilium brownii var. viridulum Baker extract for Sjögren’s syndrome: in vitro and in vivo studies by Na-Yeon Ha, Haein Jeong, Mun Seog Chang, Jinsung Kim

“…AQP-5 and M3 muscarinic acetylcholine receptor (M3R) expression and inflammatory mediator levels were determined using western blotting and enzyme-linked immunosorbent assay. …”
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Endogenous economic growth from the perspective of Islamic economic doctrine by Qasemi Abdulkhaliq, Tavakkoli Mohammad Javad

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Nature-Inspired Metaheuristics for Two-Agent Scheduling with Due Date and Release Time by Hongwei Li, Yuvraj Gajpal, Chirag Surti, Dongliang Cai, Amit Kumar Bhardwaj

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A Retrospective Study on Clinical Features and Visual Outcome of Patients Hospitalized for Ocular Trauma in Cangzhou, China by Xi Zhang, Yuqing Liu, Xiangning Ji, Yuanyuan Zou

“…Initial visual acuity (VA) correlated with final VA (Spearman’s test, r=0.703, p=0.001). The Ocular Trauma Score also correlated with the final VA significantly (Spearman’s test, r=0.802, p=0.001). …”
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Evaluating the efficacy of vestibular rehabilitation therapy on quality of life in persistent postural-perceptual dizziness: the role of anxiety and depression in treatment outcome... by Khalid A. Alahmari, Sarah Alshehri

“…Age was also found to correlate with increased dizziness severity (p &lt; 0.001), although this was not as strong as the correlation of symptom duration (longer duration correlating with increased dizziness severity; p &lt; 0.01), anxiety (r = −0.45, p = 0.002) and depression (r = −0.51, p &lt; 0.001) (both significantly associated with poorer outcomes especially with reference to VRT) emerging as independent correlates of reduced effectiveness of treatment.ConclusionsThis study revealed the benefit of VRT in patients with PPPD on QoL and indicates the importance of identifying and treating psychological factors to improve the success of treatment for PPPD.…”
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Modeling of Throughput in Production Lines Using Response Surface Methodology and Artificial Neural Networks by Federico Nuñez-Piña, Joselito Medina-Marin, Juan Carlos Seck-Tuoh-Mora, Norberto Hernandez-Romero, Eva Selene Hernandez-Gress

“…Both models have a good performance in predicting the throughput, although the artificial neural network model shows a better fit (R=1.0000) against the response surface methodology (R=0.9996). …”
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Father’s involvement associated with rural children’s depression and anxiety: A large-scale analysis based on data from seven provinces in China by Jian Jiang, Xuwei Tang, Zhifeng Lin, Yulan Lin, Zhijian Hu

“…Father involvement was significantly and negatively associated with depression scores (r = −0.38, P < 0.001) and anxiety scores (r = −0.18, P < 0.001) in rural Chinese children and adolescents. …”
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Investigation of the osteogenic effects of ICA and ICSII on rat bone marrow mesenchymal stem cells by Zhangshun Yao, Weixiang Huang, Yan Yang, Leiyan Zou, Yunpeng Zhang, Jing Zhang, Guangming Luo

“…In this study, we initially determined the optimal concentrations of Icariin (10−5 mol/L) and Icariside II (10−6 mol/L) for inducing rBMSCs osteogenic differentiation using CCK8, ALP activity assay, and flow apoptosis assay. …”
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Modelling, optimization and characterization of carbon black derived from waste tyre pyrolysis by Odunayo T. Ore, Festus M. Adebiyi

“…The study employed the use of the central composite design of the response surface methodology to investigate the relationship between the process parameters (feedstock mass, residence time, and temperature) and the carbon black yield. With an R2 and adjusted R2 of 0.99, and a highly significant F-value of 389.62, the model demonstrated excellent accuracy. …”
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Analyzing the correlation between acute ischemic stroke and triglyceride-glucose index based on ordered logistic regression by Liu He, Rong Li, Lei Wang, Xi Zhu, Qiang Zhou, Zhiyong Yang, Hua Liu

“…The analysis was conducted using R software (version R 4.1.3) to evaluate the correlation between the TyG index and functional outcomes at 14, 30, and 90 days post-stroke.ResultsThe study found that each unit increase in the TyG index significantly raised the risk of poor functional outcomes at 14 days (OR 9.86; 95% CI: 3.32–32.21; P &lt; 0.001), 30 days (OR 5.82; 95% CI: 2.08–17.45; P = 0.001), and 90 days (OR 9.79; 95% CI: 3.33–31.66; P &lt; 0.001) following a stroke. …”
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