The hidden clock: how chronotype is related to depression, anxiety, and stress in adolescents – insights from the EHDLA study by Camila Miño, Lee Smith, Carlos Cristi-Montero, Héctor Gutiérrez-Espinoza, Jorge Olivares-Arancibia, Rodrigo Yañéz-Sepúlveda, Brendon Stubbs, José Francisco López-Gil

“…A robust generalized linear regression model was used to evaluate the associations between chronotype prefernces and symptoms of depression, anxiety and stress in adolescents. …”
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Stability Analysis and Multi-Trait Selection of Flowering Phenology Parameters in Olive Cultivars Under Multi-Environment Trials by Jinhua Li, Dongxu Jia, Zhenyuan Zhou, Jincheng Du, Qiangang Xiao, Mingrong Cao

“…In the analyses, the best linear unbiased prediction (BLUP) to predict genetic value and genotype + genotype by environment interaction (GGE) biplot methods to visualize and assess stability and performance were employed across four environments. …”
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The impact of Limosilactobacillus reuteri in combination with non-surgical periodontal therapy on periodontal clinical parameters and salivary and subgingival microbiota compositio... by Pengcheng Huo, Li Deng, Jiawei Lu, Powen Kan, Rui Jing, Li-jun Luo

“…Among salivary microorganisms, the abundance of Prevotella nanceiensis significantly increased in both groups, while that of Streptococcus sp. was significantly reduced in the control group. Linear discriminant analysis indicated that the most significant distinction between the groups was observed in the subgingival biofilm samples 1 month after treatment. …”
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A randomized clinical trial investigating the effect of three vital tooth bleaching protocols on oral health-related quality of life by Ahmad Jum'ah, Siddharth Kothari, Andrew R. Gray, Jithendra Ratnayake, Felicity Leov, Karl Lyons, Paul A. Brunton

“…The Oral Health Impact Profile-14 (OHIP-14) and Oral Impact on Daily Performance-22 (OIDP-22) instruments were used to assess changes in OHRQoL at baseline, 15-days and 6-month recalls. Linear mixed models were used to estimate between- and within-group differences. …”
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Hydrochemical zonation and depth-based vulnerability of groundwater in Islamabad using GIS and WQI techniques by Fayaz Ullah Shinwari, Urooj Liaquat, Mumtaz Ali Khan, George Kontakiotis, Panayota Makri, Vasiliki Lianou, Assimina Antonarakou

“…The results showed that the depth varied between 25 and 399 feet, with shallower zones signaling enhanced accessibility and recharging, while statistical analysis revealed only a weak association between depth and water quality, suggesting additional factors contribute to contamination. No significant linear trends were found by depth-wise hydrochemical regression, however elevated quantities of sulfate, carbonate (CO₃2−), sodium carbonate (Na₂CO₃), and Nitrates (NO₃−) were found in shallow aquifers by depth-wise hydrochemical investigation, indicating the influence of fertilizer leaching or surface activities. …”
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Gut microbiome alterations and hepatic encephalopathy post-TIPS in liver cirrhosis patients by Shengpeng Li, Zhengguo Xu, Hua Diao, An Zhou, Dianji Tu, Sumin Wang, Yunxuan Feng, Xiaojie Feng, Yi Lai, Shiming Yang, Bo Tang

“…The differential abundances of species and MetaCyc pathways were analyzed using microbiome multivariate associations with linear models. Correlations between variables, including species abundance, the MetaCyc pathway, and clinical characteristics, were assessed using the Pearson correlation test. …”
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Epidemiology of lameness in prepartum dairy heifers and its association with milk production, reproduction, and diseases in the postpartum period by B.S. Souza, R.R. Daros

“…Data were analyzed in RStudio using mixed-effects linear and logistic regression models. Associations were measured both cross-sectionally and longitudinally. …”
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Evaluation of fatigue progression during overhead tasks and the effects of exoskeleton assistance by Seemab Zakir, Lorenzo Grazi, Francesco Giovacchini, Nicola Vitiello, Emilio Trigili, Simona Crea

“…Fatigue was assessed using three MDF and HR metrics: relative change ( $ {\mathrm{MDF}}_{\Delta } $ , $ {\mathrm{HR}}_{\Delta } $ ), slope ( $ {\mathrm{MDF}}_{\mathrm{slope}} $ , $ \mathrm{H}{\mathrm{R}}_{\mathrm{slope}} $ ), and intercept ( $ {\mathrm{MDF}}_{\mathrm{intercept}} $ , $ \mathrm{H}{\mathrm{R}}_{\mathrm{intercept}} $ ) of the linear regression. Results showed $ {\mathrm{MDF}}_{\Delta } $ decreased 64% (p = 0.0020) with higher assistance compared to no exoskeleton; $ {\mathrm{HR}}_{\Delta } $ decreased 40% (p < 0.0273) with lower assistance, $ {\mathrm{MDF}}_{\mathrm{slope}} $ decreased up to 67% (p = 0.0039) and $ \mathrm{H}{\mathrm{R}}_{\mathrm{slope}} $ by 43% (p < 0.0098) with higher and medium assistance. …”
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Constraints on Lorentz Invariance Violation from Gamma-Ray Burst Rest-Frame Spectral Lags Using Profile Likelihood by Vyaas Ramakrishnan, Shantanu Desai

“…Therefore, the 95% c.l. lower limits which we thus obtain on <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>E</mi><mrow><mi>Q</mi><mi>G</mi></mrow></msub></semantics></math></inline-formula> are then given by <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>E</mi><mrow><mi>Q</mi><mi>G</mi></mrow></msub><mo>≥</mo><mn>2.07</mn><mo>×</mo><msup><mn>10</mn><mn>14</mn></msup></mrow></semantics></math></inline-formula> GeV and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>E</mi><mrow><mi>Q</mi><mi>G</mi></mrow></msub><mo>≥</mo><mn>3.71</mn><mo>×</mo><msup><mn>10</mn><mn>5</mn></msup></mrow></semantics></math></inline-formula> GeV, for linear and quadratic LIV, respectively.…”
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Updating the distribution of sand flies in Hungary with implications on their biology and ecology by Katharina Platzgummer, Edwin Kniha, Vít Dvorak, Petr Halada, Julia Walochnik, Barbora Vomackova Kykalova, Ida Hanusniakova, Robert Farkas, Petr Volf, Attila J. Trájer

“…Habitat modelling and linear discriminant analysis indicated substantial climate suitability across Southeast Europe, with most positive sand fly observations observed in discontinuous urban fabric CORINE Land Cover classes. …”
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Novalis Tx radiosurgical platform experience in National Medical Research Centre for Oncology of the Ministry of Health of Russian by O. I. Kit, V. I. Voshedskii, P. G. Sakun, M. A. Gusareva, S. G. Vlasov, K. N. Museiko, M. A. Komandirov, Yu. A. Kultysheva

“…Radiation therapy was performed with Novalis Tx, Varian linear accelerator. Outcome assessment was performed with iPlan and Elements software, BrainLab, by comparing tumor volumes based on brain MRI series for brain tumors (or CT imaging for extracranial pathology) before the treatment and during four-year follow-up. …”
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Fish Meal Replacement with a Combination of Meat Meal and Chicken Byproduct Meal on Growth Performance, Feed Utilization, Biochemical Parameters and Muscle Composition of Juvenile... by Buddhi E. Gunathilaka, Seong-Mok Jeong, Byung-Hwa Min, Jinho Bae, Sang-Woo Hur, Sang-Guan You, Sang-Min Lee

“…Plasma total cholesterol levels were significantly reduced when the FM level was decreased in the diets, exhibiting a significant linear trend. The CON group exhibited a significantly higher cholesterol level compared to the MC42 and MC56 groups. …”
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Exploration of the impact of air pollutants on the influenza epidemic after the emergence of COVID-19: based on Jiangsu Province, China (2020–2024) by Chengxi Zheng, Xin Jiang, Yi Yin, Qigang Dai, Shuhan Tang, Jianli Hu, Changjun Bao, Haitao Yang, Zhihang Peng, Zhihang Peng, Zhihang Peng

“…BackgroundNon-pharmaceutical interventions (NPIs) during the COVID-19 pandemic altered influenza transmission patterns, yet the age-specific effects of air pollutants on influenza dynamics remain unclear.MethodsUtilizing influenza surveillance data of Jiangsu Province from 2020 to 2024, we integrated generalized additive quasi-Poisson regression model and distributed lag non-linear models (DLNM) to quantify lagged effects and exposure-response relationships between air pollutants (NO2, SO2, PM2.5) and influenza risk across young, middle-aged, and older adult groups. …”
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Safety study of leucoreduced allogeneic pooled freeze-dried platelet-rich plasma in healthy equine joints by Sarah Kooy, Jemma Constant, Robert Cole, Lindsey Boone

“…Data was analyzed using linear mixed models with significance set at p &lt; 0.05.ResultsThere were no differences between groups for joint swelling (p = 0.40), joint circumference (p = 0.55), heat scores (p = 0.09), or passive flexion (p = 0.70) following intra-articular injections. …”
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Shapley additive explanations based feature selection reveals CXCL14 as a key immune-related gene in predicting idiopathic pulmonary fibrosis by Bin Chen, Lu Huan, Junyu Lu, Jinhe Yuan

“…Differentially expressed genes (DEGs) were identified using linear modeling. Core DEGs were selected via integrative analysis across datasets.ResultsOur analysis revealed DEGs that are substantially linked to crucial biological processes such as extracellular matrix organization and immune response regulation. …”
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Association between neutrophil-to-lymphocyte ratio and all-cause and cardiovascular mortality among adults with cancer from NHANES 2005-2018: a retrospective cohort study by Gangping Li, Yuewen Fu, Di Zhang

“…Kaplan-Meier analysis indicated lower survival rates for individuals with higher NLR, and RCS analysis suggested a positive linear relationship between NLR and all-cause and CVD mortality.ConclusionElevated NLR is linked to higher all-cause and CVD mortality risks among adults with cancer.…”
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Remarks on the norming sets of ${\mathcal L}(^ml_{1}^n)$ and description of the norming sets of ${\mathcal L}(^3l_{1}^2)$ by Sung Guen Kim

“….$ An element $x=(x_1, \ldots, x_n)\in E^n$ is called a {\em norming point} of $T\in {\mathcal L}(^n E)$ if $\|x_1\|=\cdots=\|x_n\|=1$ and $|T(x)|=\|T\|,$ where ${\mathcal L}(^n E)$ denotes the space of all continuous $n$-linear forms on $E.$ For $T\in {\mathcal L}(^n E)$ we define the {\em norming set} of $T$ $\mathop{Norm}(T)=\Big\{(x_1, \ldots, x_n)\in E^n: (x_1, \ldots, x_n)~\mbox{is a norming point of}~T\Big\}.$ By $i=(i_1,i_2,\ldots,i_m)$ we denote the multi-index. …”
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Effects of cervical transcutaneous Vagus Nerve Stimulation (ctVNS) on military cognitive performance during sleep deprivation by C. Bottenheft, Y. M. Fonken, L. F. Hendrikse, M. Koedijk, A. Landman, O. Binsch

“…The last round of cognitive tasks was followed by the VR test.ResultsThough sleep deprivation was successfully induced, as evident from a decline in performance on all three cognitive tasks (effect of session: p &lt; 0.001 SynWin; p &lt; 0.001 PVT; p &lt; 0.001 SST; Linear Mixed Model), no significant effects of ctVNS were found on cognitive task performance, as well as on the military operational VR task. …”
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The Role of Serum Expression Levels of Microrna-21 on Bone Mineral Density in Hypostrogenic Postmenopausal Women with Osteoporosis: Study on Level of RANKL, OPG, TGFβ-1, Sclerostin... by I Nyoman Suarjana, Harry Isbagio, Pradana Soewondo, Ichramsjah A Rachman, Mohammad Sadikin, Joedo Prihartono, Safarina G Malik, Joewono Soeroso

“…Moderate physical activity was significantly negatively correlated with serum miR-21 expression. We also obtained a linear regression equation BMD = 1.373-0.085*Ln.miR-21-0.176*Log10.RANKL (R2 = 52.5%). …”
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Shared blood gene signature in lung adenocarcinoma and microbial lung infections: a bioinformatic analysis and in silico validation by Milad Sheervalilou, Mostafa Ghanei, Masoud Arabfard

“…Expression data of hub genes were compared between validation LUAD and lung infection samples using the Mann–Whitney U test, followed by linear regression and Pearson correlation to confirm co-regulation. …”
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