Construction and functional identification of overexpression vector of the peach PpCLH1 gene by LIU Xin, ZHANG Xiaoyu, MENG Junren, LI Ang, DUAN Wenyi, SUN Shihang, PAN Lei, ZENG Wenfang, WANG Zhiqiang, NIU Liang

“…The tertiary structure predictions, facilitated by the SWISS-MODEL server, predominantly depicted irregular coil conformations, corroborating the findings from secondary structure analysis and additionally noting the presence of extended chains and β-sheet elements. …”
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Cardiac magnetic resonance left atrioventricular coupling index as a prognostic tool in hypertrophic cardiomyopathy by Jinyang Wen, Junhao Tu, Xinwei Tao, Yuanyuan Tang, Zhaoxia Yang, Ziyi Pan, Yi Luo, Chunlin Xiang, Dazhong Tang, Lu Huang, Liming Xia

“…Multivariable Cox regression models were built including significant clinical variables, LA ejection fraction (LAEF), LA volume index (LAVI), late gadolinium enhancement (LGE) extent and LACI. …”
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Role of late gadolinium enhancement in the risk stratification of pediatric hypertrophic cardiomyopathy: based on a Chinese cohortResearch in context by Xingrui Chen, Wei Xiangli, Xuan Ma, Yun Tang, Jiaxin Wang, Zhixiang Dong, Kankan Zhao, Zhuxin Wei, Xi Jia, Pengyu Zhou, Yujie Liu, Yanyan Song, Chen Cui, Minjie Lu, Kai Yang, Xiuyu Chen, Shujuan Yang, Shihua Zhao

“…For SCD events, the addition of LGE extent could improve the model performance of HCM Risk-Kids model (C-statistics: 0.65 versus 0.79, P = 0.015) and PRIMaCY model (C-statistics: 0.62 versus 0.82, P = 0.002), respectively. …”
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PAVC: The foundation for a Pan-Arctic Vegetation Cover database by Morgan R. Steckler, Jitendra Kumar, Amy L. Breen, Tianqi Zhang, Forrest M. Hoffman, William W. Hargrove, Donald A. Walker, Aaron F. Wells, Amanda Droghini, Timm W. Nawrocki, Stan D. Wullschleger, Matthew J. Macander, Gerald V. Frost, Verity G. Salmon, David T. Barnett, Colleen M. Iversen

“…Abstract Field-measured Arctic vegetation cover data is essential for creating accurate, high-quality vegetation structure and composition maps. Extrapolating field data into high-resolution cover maps provides detailed, function-specific information for use in Earth System Models, vegetation classifications, and monitoring vegetation change over time and space. …”
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Physical Classification of Soybean Grains Based on Physicochemical Characterization Using Near-Infrared Spectroscopy by Marisa Menezes Leal, Nairiane dos Santos Bilhalva, Rosana Santos de Moraes, Paulo Carteri Coradi

“…It is concluded that the NIR method combined with multivariate modeling allows for the rapid assessment of soybean grain quality in real time, optimizing, reducing waste in, and increasing the efficiency of post-harvest processes.…”
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Association between red blood cell distribution width-to-albumin ratio and all-cause mortality in intracerebral hemorrhage by Jia Xu, Guangdong Wang, Xinran Chen, Xinyi Xu, Yun Wang, Li Wang, Yaxin Zhang

“…Kaplan–Meier survival analysis, time-varying Cox regression model, and restricted cubic spline analyses (RCS)analysis were performed to assess the link between RAR and mortality risk. …”
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Cumulative behavioral and metabolic determinants of health are associated with higher inflammation-related indices: insights from a cross-sectional study (NHANES 2005–2018) by Anzhi Wang, Youping Zeng, Xiaoyan Gao, Xunge Lin, Shenshen Du, Ping Wang, Yun Pan

“…ObjectiveThis study innovatively investigates the cumulative associations between behavioral determinants of health (BDoH), metabolic determinants of health (MDoH), and systemic inflammation biomarkers in U.S. adults, using a novel cross-sectional framework to quantify their synergistic effects.MethodsUtilizing cross-sectional data from 18,500 participants in the National Health and Nutrition Examination Survey (NHANES 2005–2018 cycle), we developed a composite exposure model integrating BDoH (smoking status, physical activity, dietary quality) and MDoH (obesity metrics, hypertension, diabetes) through standardized questionnaires and clinical measurements. …”
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Correlation of changes in inflammatory and collagen biomarkers with durable guselkumab efficacy through 2 years in participants with active psoriatic arthritis: results from a phas... by Stefan Siebert, Georg Schett, Siba P. Raychaudhuri, Monica Guma, Warner Chen, Sheng Gao, Soumya D. Chakravarty, Frederic Lavie, Proton Rahman

“…Guselkumab-randomized participants with available serum biomarker data (randomly selected to reflect demographic and disease characteristics of the DISCOVER-2 population) comprised inflammatory ( N  = 100) and collagen ( N  = 178) biomarker cohorts. Methods: Pharmacodynamic effects of guselkumab through 2 years on inflammatory and collagen biomarker levels (general linear model) and associations between biomarkers and improvements in composite measures of joint, skin, and overall disease activity (Spearman linear regression) through 2 years were assessed. …”
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Translation, Cross-Cultural Adaptation, and Psychometric Validation of the Health Information Technology Usability Evaluation Scale in China: Instrument Validation Study by Rongrong Guo, Ziling Zheng, Fangyu Yang, Ying Wu

“…Confirmatory factor analysis confirmed a 4D structure with acceptable construct validity, as indicated by model fit indices. Both the Health-ITUES-R and Health-ITUES-P showed satisfactory convergent validity (average variance extracted [AVE] value>0.5, composite reliability value>0.7), except for a slightly lower AVE value (0.478) for the second dimension of the Health-ITUES-R. …”
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Characterizing spatial immune architecture in metastatic melanoma using high-dimensional multiplex imaging by Joel Eliason, Santhoshi Krishnan, Yasunari Fukuda, Matias A. Bustos, Dan Winkowski, Sungnam Cho, Akshay Basi, Akshay Basi, Regan Baird, Elizabeth A. Grimm, Michael A. Davies, Dave S. B. Hoon, Arvind Rao, Arvind Rao, Arvind Rao, Arvind Rao, Jared K. Burks, Jared K. Burks, Suhendan Ekmekcioglu

“…Associations with survival were assessed using Cox proportional hazards models with robust variance estimation.ResultsStage IV tumors exhibited a distinct immune landscape, with increased CD74- and MIF-enriched inflammatory neighborhoods and reduced iNOS-associated regions compared to Stage III. …”
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Falls prevention interventions for community-dwelling older adults: systematic review and meta-analysis of benefits, harms, and patient values and preferences by Jennifer Pillay, Lindsay A. Gaudet, Sabrina Saba, Ben Vandermeer, Ashiqur Rahman Ashiq, Aireen Wingert, Lisa Hartling

“…For outcome valuation, we pooled disutilities (representing the impact of a negative event, e.g. fall, on one’s usual quality of life, with 0 = no impact and 1 = death and ~ 0.05 indicating important disutility) from the EQ-5D utility measurement using the inverse variance method and a random-effects model and explored heterogeneity. …”
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Associations between nighttime or weekend deliveries and adverse maternal, birth, and neonatal outcomes: secondary analysis of the MANGO study in western Kenya by Maneet K. Virk, Jenine Shafi, Pooja Maheria, Garoma Basha, Harold E. Kooreman, John Humphrey, James G. Carlucci, Audrey Chepkemoi, Caitlin Bernard, Megan S. McHenry, Beverly Musick, Caroline Kerich, Winnie Matelong, Constantin T. Yiannoutsos, Wycliffe Kosgei, Julia Songok, Kara Wools-Kaloustian, Edwin Were, Rena C. Patel

“…More than half of deliveries occurred during nighttime (6pm to 7am)/weekends (62.6%). In multivariate modeling, nighttime/weekend delivery was associated with a reduced risk of adverse composite maternal outcomes (adjusted risk ratio [aRR] 0.92, 95% confidence interval [CI]: 0.88, 0.96) and composite birth outcomes (aRR 0.92, 95% CI: 0.88, 0.96). …”
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A Novel Formulation Based on Resveratrol and Water Extracts from <i>Equisetum arvense</i>, <i>Crataegus curvisepala</i>, <i>Vitex agnus-castus</i>, and <i>Glycine max</i> Inhibits... by Simonetta Cristina Di Simone, Alessandra Acquaviva, Maria Loreta Libero, Nilofar Nilofar, Fatma Tunali, Mariachiara Gabriele, Angelica Pia Centulio, Gianluca Genovesi, Davide Ciaramellano, Lucia Recinella, Sheila Leone, Luigi Brunetti, Gokhan Zengin, Giustino Orlando, Luigi Menghini, Annalisa Chiavaroli, Claudio Ferrante

“…Therefore, the present study aimed to evaluate the phytochemical and pharmacological properties of an innovative formulation consisting of resveratrol and water extracts from <i>Equisetum arvense</i>, <i>Crateagus curvisepala</i>, <i>Vitex agnus-castus</i>, and <i>Glycine max</i>. The phenolic composition and radical scavenger properties were evaluated using chromatographic and colorimetric (ABTS) methods, whilst the limits of biocompatibility were assessed through allelopathy, the <i>Artemia salina</i> (brine shrimp) lethality test, and <i>Daphnia magna</i> cardiotoxicity assay. …”
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Shape memory recovery in polylactic acid and thermoplastic polyurethane bi-material metamaterials fabricated by additive manufacturing under fatigue testing by Farzad Fereydoonpour, Shokouh Dezianian, Mohammad Azadi

“…In this way, by applying a type of stimulus to the part fabricated by the 3D printing method and deformed, the sample returns to its original shape over time. …”
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Parcs agroforestiers sahéliens : de la conservation à l’aménagement by G. Smektala, R. Peltier, N. Sibelet, M. Leroy, R. Manlay, C. F. Njiti, M. Ntoupka, A. Njiemoun, O. Palou, Tapsou

“…Various types of wooded parklands have been created, depending on the composition of the original tree population, the ecological conditions, the know-how and requirements of the local populations and their socio-economic environment. …”
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Relationship Between Soil Aggregate Stability and Associated Carbon and Nitrogen Changes Under Different Ecological Construction Measures in the Karst Region of Southwest China by Meiting Li, Keqin Wang, Xiaoyi Ma, Mingsi Fan, Biyu Li, Yali Song

“…The partial least squares path modeling (PLS-PM) analysis indicates that land use type and the content of carbon and nitrogen pools are the primary factors influencing soil aggregate stability. …”
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ID1 and ID3 functions in the modulation of the tumour immune microenvironment in adult patients with B-cell acute lymphoblastic leukaemia by Nathaly Poveda-Garavito, Nathaly Poveda-Garavito, Nathaly Poveda-Garavito, Carlos A. Orozco Castaño, Carlos A. Orozco Castaño, Yulieth Torres-Llanos, Yulieth Torres-Llanos, Yulieth Torres-Llanos, Nataly Cruz-Rodriguez, Rafael Parra-Medina, Rafael Parra-Medina, Sandra Quijano, Jovanny Zabaleta, Alba Lucia Combita, Alba Lucia Combita, Alba Lucia Combita

“…B-ALL progression alters immune cell composition and the bone marrow (BM) microenvironment, impacting disease progression and therapy response. …”
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Effects of a physical activity-enhanced curriculum on increasing physical activity and improving physical fitness in preschoolers: Study protocol for a cluster randomized controlle... by Whitney W. Au, Chit K. Leung, Shine H. Lin, Angus P. Yu, Daniel Y. Fong, Stephen H.S. Wong, Derwin K.C. Chan, Catherine M. Capio, Clare C.W. Yu, Sam W.S. Wong, Ya-Jun Chen, Walter R. Thompson, Parco M. Siu

“…Generalized estimating equations or other appropriate statistical models will be used to examine the treatment effects with adjustment for baseline values. …”
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Prepregnancy Obesity Reprograms Offspring Skeletal Muscle Fibre Transition Through H3K9me3 by Yichi Wu, Sujuan Li, Jingyi Zhang, Anran Tian, Xiangyao Wang, Xi Yang, Fucheng Meng, Qing Li, Yuan Gao, Yingying Li, Furong Liang, Minglan Yao, Xiaoping Luo, Cai Zhang

“…Given that skeletal muscle plays a crucial role in systemic metabolism, we investigated how maternal prepregnancy high‐fat diet (HFD) influences muscle fibre composition and metabolic function in offspring. Methods We established mouse models with a prepregnancy chow diet (CD) and a prepregnancy high‐fat diet (HFD) for 8 weeks to compare metabolic phenotypes in offspring. …”
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Microbial Patterns in Newly Diagnosed Inflammatory Bowel Disease Revealed by Presence and Transcriptional Activity - Relationship to Diagnosis and Outcome by Vatn SS, Hansen SH, Tannæs TM, Brackmann S, Olbjørn C, Bergemalm D, Keita ÅV, Gomollon F, Detlie TE, Kalla R, Satsangi J, Jahnsen J, Vatn MH, Halfvarson J, Hov JR, Ricanek P, Moen AEF

“…Multiple bacterial taxa were associated with treatment escalation in both UC and CD. Machine-learning models separated IBD from symptomatic controls and treatment escalators from non-escalators (AUC &gt; 0.8). …”
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