Causal relationship between blood lipids and diabetic kidney disease：a Mendelian randomization study by Wang Hao-hao, Liu Hao-fei, Miao Shao-bo, Jia Run-ke, Ma Ji-wei

“…Cochran Q test was used to test heterogeneity， and MR-Egger-intercept test was used to test whether there was horizontal pleiotropic effect. …”
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Causal association among smoking, bitter beverage consumption, and risk of osteoporosis: a two-sample mendelian randomization-based study by Yanqian Wu, Jianqian Chao, Min Bao, Na Zhang, Leixia Wang

“…The stability and reliability of the results were verified by the Cochran’s Q test, the Egger-intercept test, and the leave-one-out analysis. Results Smoking per day was causally associated with the risk of osteoporosis OR = 1.417, 95% CI = 1.119–1.794, P = 0.003), and lifetime smoking index had a possible genetic causal association with the risk of osteoporosis with pathological fractures (OR = 4.187, 95% CI = 1.909–9.184, P < 0.001). …”
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Organic amendments tighten nitrogen cycling in agricultural soils: a meta-analysis on gross nitrogen flux by Lauren C. Breza, A. Stuart Grandy, A. Stuart Grandy

“…., cover crop biomass and stover) and animal manures, can accelerate N cycling by increasing mineralization and immobilization rates to provide crops with more opportunities to intercept N as it moves through bioavailable pools. …”
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Physicochemical characteristics and trophic state evaluation of post glacial mountain lake using multivariate analysis by S. Nayek, S. Gupta, K.K. Pobi

“…Therefore, measures should be taken on urgent basis in order to intercept the increasing trend in eutrophication, and for the restoration of water quality and integrated lake ecosystem.…”
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Predicted quality benefits of achievable performance benchmarks of chronic heart failure care in China: results from a nationwide observational study by Xi Li, Chao Wang, Jingkun Li, Yupeng Wang, Xiaoqiang Bao, Meina Liu, Qiuju Zhang, Chang Yin, Xudong Ma

“…Objectives This study aimed to set a data-driven achievable performance benchmark, explore the process–outcome association and speculate about the net gain in quality improvement with benchmarking.Design Observational study.Setting Patient survey conducted at 466 secondary and tertiary hospitals across 31 provinces, autonomous regions and municipalities in China.Participants 183 334 patients diagnosed with chronic heart failure (CHF) who were treated at 466 Chinese hospitals from January 2011 through May 2017.Primary independent variables Hospital process composite performance (HPCP).Secondary independent variables Patient-level and hospital-level characteristics.Primary outcome measure Patients getting better or recovered after treatment, in-hospital mortality, length of hospital stay (LOS) and medical cost.Methods HPCP was calculated using denominator-based weights. Mixed random-intercept models were used to evaluate the contributions of HPCP on patient outcomes and to speculate quality improvement after adjusting HPCP to benchmark level.Results When all hospitals were to operate at the benchmark level, the proportion of patients getting better or recovered after treatment would increase in most hospitals, particularly those with low baseline rates. …”
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Causal Association Between Skin Microbiota and Malignant Melanoma: Genetic Insights From Mendelian Randomization by Li X, Wu S, Pan Y, Wu Z, Du Z, Xie W, Zhou Q

“…Furthermore, we performed sensitivity analysis employing the intercept test of MR-Egger, the Cochran’s Q test, the MR-PRESSO approach, and a leave-one-out method.Results: By conducting MR analysis on the KORA FF4 cohort, we identified several skin microbiotas (ASV003 [Staphylococcus (unc).], ASV016 [Enhydrobacter (unc).], and ASV021 [Micrococcus (unc).]) related with an elevated risk of MM. …”
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Evaluation of genetic trend in milk production of buffalo cattle in Colombia by Divier Antonio Agudelo-Gómez, Sebastián Pineda-Sierra, Diana Solano, Andrés Felipe Pérez-Rojo, Edison Julián Ramírez-Toro

“…The GAMS model estimated an intercept of 45.42 kg (p<0.001), with an explained variance of 63%. …”
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Longitudinal associations between informal caring, social network, and psychological distress among adolescents and young adults: modelling within-person effects by Miharu Nakanishi, Satoshi Yamaguchi, Mai Sakai, Hatsumi Yoshii, Syudo Yamasaki, Atsushi Nishida, Takahiro Tabuchi

“…We employed a random intercept cross-lagged model to detect within-person prospective associations between informal caring, social network, and psychological distress. …”
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Assessing inflammatory protein factors in inflammatory bowel Disease using multivariable mendelian randomization by Qiang Su, Yun Lu, Song He, Jiang Liang, Song Huang, Yuanli He, Zhenxiang An

“…Sensitivity analyses included Cochran’s Q test, MR-Egger intercept test, MR-PRESSO, and leave-one-out analysis.The inflammatory cytokines were subjected to additional scrutiny through the application of the Steiger test and reverse Mendelian randomization analysis. …”
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The effects of deprivation, age, and regional differences in COVID-19 mortality from 2020 to 2022: a retrospective analysis of public provincial data by Anqi A. Chen, Elizabeth M. Renouf, Charmaine B. Dean, X. Joan Hu

“…Heterogeneity across public health units was formulated via a random intercept in each of the models. Results Mean daily COVID-19 deaths increased quickly as daily hospitalizations increased, particularly when daily hospitalizations were less than 20. …”
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Outcome in patients undergoing postponed elective surgery during the COVID-19 pandemic (TRACE II): study protocol for a multicentre prospective observational study by Markus W Hollmann, Gert Jan Scheffer, Wolfgang Buhre, Sander van Kuijk, Seppe Koopman, Dianne de Korte-de Boer, Peter G Noordzij, Alice C Werger, Jennifer Breel, Carolien S E Bulte, Bas A in ‘t Veld, Carin G C L Wensing

“…Multivariable logistic mixed-effects regression analysis with a random intercept for hospital will be used to test group differences on the primary outcome.Ethics and dissemination Ethical approval was obtained from the Institutional Review Board of Maastricht University Medical Centre+ and Amsterdam UMC. …”
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Quantitative Determination of 18-β-Glycyrrhetinic Acid in HepG2 Cell Line by High Performance Liquid Chromatography Method by Giuseppina Nocca, Cinzia Callà, Stefano Angelo Santini, Adriana Amalfitano, Luca Marigo, Diana Valeria Rossetti, Gianrico Spagnuolo, Massimo Cordaro

“…The LOD and LOQ were determined based on standard deviation of the y-intercept and the slope of the calibration curve. The LOD and LOQ values were found to be 11.46 μg/mL and 34.72 μg/mL, respectively. …”
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Effect of Rock Particle Content on the Mechanical Behavior of a Soil-Rock Mixture (SRM) via Large-Scale Direct Shear Test by Longqi Liu, Xuesong Mao, Yajun Xiao, Qian Wu, Ke Tang, Feifei Liu

“…We also conclude that the intercept of the Mohr failure envelope of the soil-rock mixture should be called the “equivalent cohesion,” not simply called the “cohesion.” …”
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Implementation and comprehensive investigation of gate engineered Si0.1Ge0.9/GaAs charged plasma based JLTFET for improved analog/ RF performance by Pranita Soni, Aditya Jain, Kaushal Kumar, Lokesh Kumar Soni, Ajay Kumar, Neha Gupta, Amit Kumar Goyal, Rakesh Saroha

“…Enhanced gate capacitances and superior intercept points further validate its suitability for high-frequency and low-power applications. …”
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Dynamic Key Replacement Mechanism for Lightweight Internet of Things Microcontrollers to Resist Side-Channel Attacks by Chung-Wei Kuo, Wei Wei, Chun-Chang Lin, Yu-Yi Hong, Jia-Ruei Liu, Kuo-Yu Tsai

“…This makes them vulnerable to side-channel attacks (SCAs), where attackers can intercept and analyze the electromagnetic signals emitted by microcontroller units (MCUs) to expose encryption keys and compromise sensitive data. …”
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Decreased frequency of sugar-sweetened beverages intake among young children following the implementation of the health promotion levy in South Africa by H Salome Kruger, Tertia van Zyl, Makama A Monyeki, Cristian Ricci, Ruan Kruger

“…The health promotion levy was implemented after baseline and follow-up measurements were done after 4 years. A random intercept generalised linear mixed model analysis was applied to investigate the time effect of the weekly intake of the foods adjusting for BMI-for-age z-scores and sociodemographic characteristics of the children. …”
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Don’t move a mussel: The role of key environmental drivers and management scale in assessing spatial variation in dreissenid spread risk in the Missouri River basin by Joseph Raymond, Lucas S. Bair, Timothy D. Counihan, Wesley M. Daniel, Sofie Duntugan, Matthew E. Neilson, Michael Springborn

“…Management efforts such as watercraft inspection and detection programs that attempt to intercept infected watercraft can help limit this type of spread, but optimizing the effectiveness of these programs under limited resources is complicated. …”
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Enhancing work environments and reducing turnover intention: a multicenter longitudinal cohort study on differentiated nursing practices in Dutch hospitals by Julia van Kraaij, Neeltje de Vries, Hanna Wessel, Hester Vermeulen, Catharina van Oostveen, RN2Blend Consortium

“…A multilevel analysis with a random intercept and fixed slope was used to evaluate the impact of differentiated nursing practices on the work environment and on nurses' turnover intentions. …”
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Measurement of Circulating 1,25-Dihydroxyvitamin D: Comparison of an Automated Method with a Liquid Chromatography Tandem Mass Spectrometry Method by Armin Zittermann, Jana B. Ernst, Tobias Becker, Jens Dreier, Cornelius Knabbe, Jan F. Gummert, Joachim Kuhn

“…The regression equation resulted in an intercept of −1.99 (95% CI: −7.33–1.31) and a slope of 1.27 (95% CI: 1.04–1.52) for the automated assay. …”
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Longitudinal analysis of academic stress and its effects on salivary cortisol, alpha-amylase, and academic outcomes: Study protocol. by Juan Luis Castillo-Navarrete, Alejandra Guzmán-Castillo, Claudio Bustos

“…(ii) Bivariate and multivariate analyses will be conducted to compare groups. (iii) Random intercept cross-lagged models will be used to assess the direction and reciprocal effects between variables over time. …”
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